IDE

Pristine_Hurry_4693

My best play is $DRTS. Usually the bigger the reward so it the risk, therefore many will miss real gains even when they hit. This stock is in a once in a lifetime position imho. With a market cap of only ~250M, the company has 90M+ cash, three factories, patented tech, FDA breakthrough device designation, FDA TAP program, FDA IDE’s, MDSAP certification and much more. One could argue the stock is fundamentally worth today more than the 3$ it’s trading at (even if no further approvals are granted). They have many FDA approved clinical trials going on, some in phase 2 and 3 already. They also past all the PMDA appliances and are expected approval in Japan this quarter. Their product is a new cancer treatment, with early clinical results showing 100% tumor response. The treatment (Alpha DaRT) can shrink tumors and make them disappear even in unmet needs cases. The treatment also showed a systemic immune response. I’d love to share more all about it if anyone would like to hear. The reason it isn’t trading around 10$ (already now, and could go much higher of course with the PMDA expected approval and then FDA and US commercialization in H1 2026) is because it has 0 PR and 0 retail exposure.

civildisobedient

> they have sufficient context I'm curious if they really do, though. My IDE of choice is IntelliJ which has a Co-Pilot plugin, but as far as I'm aware it's only able to use a small portion of your codebase (maybe just what's open in tabs?) - it's not introspecting libraries, decompiling code or pulling source code from Github to add to its context. I believe Cursor at least has complete local visibility but I'm not sure how deep it's looking within dependencies, if at all. Most of the tutorials I've seen talk about converting Github repos to markdown and then adding it to the context. Seems like something that could be... automated?

Pristine_Hurry_4693

Love the breakdown, thanks for sharing! I just answered your former comment and seeing this now. Worth noting $DRTS already: - Received FDA Breakthrough Device Designation - Got accepted into the FDA's Total Product Life Cycle Advisory Program (TAP) - Achieved MDSAP (Medical Device Single Audit Program) certification - Received FDA approval for an Investigational Device Exemption (IDE) - Is expecting PMDA approval in Japan this quarter - Is in phase 3 of FDA approved trials and has many more trials in other phases

cahe4ek555

They are submitting the IDE on or before July 14th [https://vivosinc.com/ide-submission](https://vivosinc.com/ide-submission)

AluminiumCaffeine

Anthropic is blocking windsurf IDE from using their models now that OpenAI is buying them out, all kinds of fun squabbling

MyOtherActGotBanned

Claude inside Cursor IDE is how I write 90% of my code

Cameron12221

$RDGL biotech/FDA play. Applying for IDE to start human trials. Company committed to applying within the next 50ish days I think it is now. I'll share a quick write up I did on another post. Like any early stage biotech/FDA play, high risk high reward so becareful. Vivos Inc (formally known as Radiogel) RDGL - OTCQB Biotech, kind of FDA play They have a patented treatment process where they inject Y90 into a tumor using a hydrogel mix with a small gauge needle in a grid pattern. Basically the gel is more of a liquid and after it's injected, it warms up to the body temperature and becomes more a gel than a liquid. Once it gets up to the body temperature, it holds the Y90 in place within the tumor. The Y90 gives off high doses of radiation, but the radiation only travels a short distance. Y90 is already a well studied isotope that is used in many medical uses so they know a lot about it. You can basically have your children on your lap even after being injected due to the short distance the radiation travels unlike other isotopes. Due to the short distance of the radiation travel, they can inject it and basically only give high doses of radiation from within the tumor or any area they want to be effected. Their moto is basically "precision". With Y90 half life of roughly 2.5 days, after 10 days the tumor receives almost the entire dose of radiation. After about 3 months there's a natural body cycle that will remove the dead tumor and the hydrogel. At this point the Y90 is long gone. The cool thing is that they've been treating animals with this for years. Matter of fact, we had a horse treated with it when it had a tumor on it's tail. It was a same day treatment where the animal can go home the same day. They started using it at state universities, but now have expanded into private clinics. This year they are focusing on expanding to more clinics. I think they are expecting to be in over 20 by the end of the year. They also are being used at Johns Hopkins at their animal hospital. Their animal division is called Isopet. It will be a little while before Isopet becomes profitable as they start to expand and gain market share, but the real money will be in their human division, Radiogel. They are actively working with the FDA following all their requirements and requests to build a IDE submission (to start human trials) that will be bullet proof. They even used a special program from the FDA called the Early Feasibility Study (EFS) to basically have the FDA walk you through every thing they want and have many meetings with them. Shortly after the EFS, the company was granted the Break Through Device Designation (BDD). The BDD is basically the FDA saying you meet the requirements of having a product or treatment that is safer, more effective, and likely to help people with life threatening issues. The BDD also can speed up human trials if approved because they want to get the life saving treatment to market ASAP. Another use for this is to kill dirty margin. Once a doctor cuts out cancer, it's hard to get all the cancer cells. They have used this to give radiation to the area of where the cancer was removed and has successfully reduced the chance of it coming back. The doctor doesn't want to cut out more than they have to. Doctors from the Mayo Clinic actually approached the company about getting involved to get this to market as they saw massive potential in this for so many cancers and other non cancer treatments. The Mayo Clinic doesn't allow their doctors to work directly for for-profit companies, but the Mayo Clinic gave special permission to their doctors to work with this company and help consult them. Now the Mayo Clinic has officially agreed to perform the human trials once they receive the IDE from the FDA. A top oncologist from India reached out to the company and asked them to bring this to his country. While they wait for the approval from the FDA, they are actively doing human trials in India as I type this. So far they have had massive success and are expanding the trail from their original indication of thyroid cancer in 5 people to 50 more patients with cancer anywhere in the body. To sum this up, this company has made a cancer treatment that can treat cancer basically anywhere in the body, including sensitive areas such as the brain and spine or anywhere in the body. They are currently making more uses and products for different situations. The animal treatment is starting to gain traction. They are in the process of going international already. This is a long term investment in my eyes, but if you have time, this could be one of those companies that everyone wishes they had got into for pennies and not $10+. I want to be very clear, this is not a cure for cancer. It's just another tool in the doctor's toolbox. Hopefully a very effective one that will make a difference for many. It may help slow down the spreading of the cancer, but it's treatment is made for cancer that hasn't spread such as a solid tumor. I think they could use this to attack the tumors and use chemo for the spreading aspect.

tollbearer

openAi has over 20 million paid subscribers as of last count, and it was growing at a rate that puts it on 100 million by the end of the year. That's utterly insane for a service barely 2 years old. Obviously its going to be primarily white collar workers. But theres increasing uses for blue collar workers. I was able to use it the other day to diagnose a problem with my furnace that my hvac guy could not solve. He wanted to replace the whole thing, turned out it was a fault in a simple $100 part. chatgpt guided me through the diagnostic process and even gave me links to buy the part. The guy even fitted it for free, as an apology for missing the problem. I'm sure blue collar will find many uses over time. But at the moment, it really is white collar stuff. I'm a software engineer that works for, interestingly enough, a robotics startup, and it's a core part of my workflow. Massively speeds up knowledge acquisition, helps refresh my maths, physics, knowledge of spcific systems, languages, libraries, that I've gotten rusty in. Helps me research things with deep research, helps me rapidly find the links and information I'm looking for, helps me understand other disciplines I'm working with, helps review things for gaps in my knolwedge, or mistakes in my approach. Helps with simple things like reminding me of a lnaguage feautre or tool, and IDE shortcut or feature. Just so many things... Helps bring new devs up to speed. Instead of creating or compiling reading materials and wasting time mentoring directly, I can say go ask Ai to teach you these specific things, or guide you how to do this specific process. And then theres daily life. So many uses, it's uncountable. The furnace thing. But then there is researching stuff, finding products, learning things, searching the internet way faster and getting compiled lists of everything I'm looking for instead of stumbling through google myself. Having fun, generating images, sometimes just having a hilarious chat about something, getting it to do funny accents or roleplay. Checking facts when discussing something with friends. Helping write emails and solve problems in my life, keeping me on task. I use it so much now, and so do others I know who have realized its capabilities. It's still limited for many things, but also has many uses. Don't know about your experience, but it is improving so rapidly, if you tried even just a previous model, it's a different beast. Even just its ability to search the internet and CoT make a huge difference. Also, if you treat it will do everything, it will get lost. You need to think of it like a consultant, where you are bringing them in to help you finish a job you have limited domain knolwedge in. Work through problems, understand it is, in many ways dumb, and you need to keep it on track. I once worked with a brilliant graphic designer, in that they knew every aspect of every tool and could CRANK out stuff faster than any I've ever worked with, but they, ironically, had zero design sense, and would for some reason, go off on tangents that apparently had nothing to do with the brief. I had to keep them on a very short leash, over expplain everything, check their work. You have to think of it like that. If you know what you want, it can be a very poweful tool. It knows everything. Knows all the tools, all the tricks, all the knowledge. It's just a little dumb about applying it. If you're trying to get it to do something other than give you knowledge, you have to fill that role. It's a powerful tool in that scenario. And otherwise its just super useful as a very fast way of looking up knowledge and summarizing or searching for information you might otherwise have spent much more time finding.

BurgerFoundation

I feel this will bring down the market in the short short term. Maybe catch an over reaction by the market. IDE be careful with shorts and puts.

MAGS0330

Do yourself a MASSIVE favor and seriously look into $RDGL. They should be announcing phase II clinical trial results from the trial they are conducting in India within the next 30-45 days. In addition, they are working with the US FDA to submit their IDE to begin human trials in the U.S. with the Mayo Clinic. The therapy they’ve developed is called ‘RadioGel’ and it destroy cancer without damming surrounding tissue. This will offer oncologists a massively important option for those patients not ideal for surgery or Chemo. Great time to get in. Could be life changing money. Do your own DD

badmascompany

Google with slew of products and a monster in search space, is best suited for a practical integration of AI across verticals, Microsoft can be another, but given there corporate like structure I would place my bet on Google. Be it code generation, coding agents, platforms or IDE, ads, seo, search, browser based at device local models, automated cars etc, you name it and they have it.

Impressive_Date_560

As someone who works in engineering consulting and works closely with many different businesses of all sizes, I have yet to see any company use AI in a meaningful way. The software departments are the closest. But our 1 year study of AI productivity gains yielded poor results and the program was scrapped for that reason. All the estimates the various disciplines gave for how much money AI would save ended up being massively overstated. These were people who put their reputation on the line and said they were sure it would save a ton of cash. They said this to the executive management and then failed to deliver. They wanted it to work but couldn't get it to. It turns put when you're doing work beyond entry level engineering it's just not that useful. It's about as useful as more complex IDEs were a couple of decades ago. Which is to say it is useful but not as crazy as people want to believe. I've only seen it being used in smaller companies and even their the results are mixed. One guy who was a full time employee of the customer was clearly using it and his output was trash and he quit before he was about to get fired. The bigger companies don't seem to want to touch it. It's just not accurate enough. 95% accuracy might be fine when cooking a cheeseburger or doing some small biz proto work but real engineering won't accept that. And so if a human had to go in and catch thr 5% of mistakes then it's probably cheaper to have them do the whole thing.  I have github copilot and the paid version of chatgpt and I get my money's worth from it. I use it every single day. But it's useful like a complex IDE is useful. It's marginal gains once you put the work in to really know how to leverage what it's good at and what it's not. Lots of people just won't accept it's nit great at everything.

MAGS0330

Dude, you need to get RDGL on this list like NOW. They have a highly effective cancer killing treatment and have successful phase 2 trials going on in India now, and are close to submitting their IDE with the FDA to begin trials in the U.S.

suzisatsuma

I'm a ML/AI engineer - have worked in big tech for decades. uh believe it. The agentic ai stuff is actually pretty good for a lot of the more tedious code writing. It's getting dramatically better. (there is all the incentive) There's vast amounts of boilerplate / refactoring / maintenance / and testing shit. It's not like it's off by its self. I used a lot of agentic ai integration in my IDE. They're pretty damn effective for writing code for the shit I find tedious. It's code generated at the prompt and validation of engineers tho - so making individual devs more productive.

drulingtoad

Im thinking they include auto complete. I think before AI 20% of my code was generated by the IDE. I like long descriptive variable names and generally only type in the first few letters then let auto complete write the full variable names.

Digital-Dumpsterfire

Use Interactive Brokers + TradingView or Questrade’s IQ Edge if you want built-in IDE vibes without the headache. Just remember - custom indicators won’t save you from YOLO losses

Swiftzor

I’m not even talking purely about the stock market. What happens when say a massive company like Microsoft pushes a bug with AI generated code no one catches that causes something like one drive to no longer sync? Or Amazon deploys code written by AI that causes their payment processors to charge customers the wrong amount of tax? These aren’t just hypotheticals, we’re seeing AI powered tools already cause issues like this. Last week an AI enhanced IDE signed out uses from their IDEs if they had it on more than one computer, then their customer support said that is intended functionality. Turns out the customer support was an AI chatbot and hallucinated the new policy. This is a company going through a new round of funding being valued at $10B.

Fritzkreig

[Who want to live forever?](https://www.youtube.com/watch?v=_Jtpf8N5IDE)

Least-Feeling-9307

RDGL very close to submitting for IDE. Currently conducting human trials in India. 

MAGS0330

RDGL— All the way I've invested heavily in RDGL (Vivos Inc.) because I believe their RadioGel therapy has the potential to be a game-changer in cancer treatment. This targeted radiation approach, designed to minimize damage to healthy tissue, could offer significant advantages over traditional methods. The recent BDD designation from the FDA, the positive initial trial results in India, and their partnerships with Mayo Clinic and Johns Hopkins are all strong indicators of the therapy's potential. Of course, I understand the risks involved with OTC investments, but I believe the potential reward justifies it. The IDE process with the FDA is progressing quickly and I'm extremely optimistic about their long-term success. This therapy could literally change the way cancer is treated. It’s already been proven effective in animals. Check out their website and do your own DD— but I feel like this one is a HUGE winner in the next 12 months

Paul_Robert_

Looks like an IDE from inteliJ, probably PyCharm.

McNoxey

I fundamentally disagree with you. You’re simplifying the “under the hood” component significantly. I will take back what I said about aider, because honestly I actually prefer that it is significantly less autonomous. But cline, roo, windsurf and cursor with intentional MCP usage is definitely agentic. I do agree that these tools are overhyped, but I’m not discussing the tools in their standard out-of-the-box state. I don’t know how you could say that an LLM inside an IDE that has a specific purpose (Architect, Designer, Coder) with access to different sets of tools (file read write, GitHub tools, notion tooling, database management/read capabilities) is not an agent. They’re not fully autonomous, but to say they’re not agents feels like an incredibly rigid definition.

w33bwhacker

No, they’re not. I work in this space. I’m confident because I know what I’m talking about. An IDE that pulls context is a bog-standard LLM.There’s no “variety of tools” - it’s just putting the files in the context window. An “agent” has a formal definition, going back through decades of AI research. Agents operate autonomously to take complex, multi-step actions without human intervention.

McNoxey

You’re so confidently incorrect. Cursor, cline, roo, windsurf, roo code, aider. These are all agents. They have access to, and utilize a variety of tools to support my workflow. Using an in IDE LLM that calls a variety of tools to expand its context and capabilities is absolutely more than “just an llm” There obviously are simple llm implementations in an ide that can be used as just a chat, but that is not what I’m referring to.

w33bwhacker

The fact that you keep using the word "agent" inappropriately tells me that you're just bathing yourself in hype. If you're using an AI in an IDE, it isn't an "agent". It's just an LLM. Please make a note of it.

McNoxey

They're researching but they're not at the forefront of this. Here's a very high level overview of what I do and how I'm able to achieve high quality output from these models. \--- I've spent hundreds of hours trying, learning and evolving my process. I don't have a ton of time to give you a detailed response right now, but I'll give you a really quick overview. Success in AI generation comes down to three things. Your model choice. Your prompt. Your context. You manage all of these. The AI Agents attempt to solve it, but this is like asking a car to create its own gas. You're in control so you can manage this. The Model is the engine. It defines what can and can't be done. You need to learn the limits of various models, what they'er good at and what they're not good at. It's the tool you pick for the job. Secondly is your prompt. LLMs work well off repetition. Keywords. Using solid keywords that convey a lot of meaning massively improve your output. Things like defining the types you're going to use early, then referencing those types further along in your prompt. The single class name now represents an entire data structure that the LLM understands. Finally, the context. What are you trying to do? What relevant information would *you* need to solve the problem? LLMs are trained on all of the world's knowledge, but you don't need all of the world's knowledge to solve every problem. Curate what sources/information the AI needs to solve the problem and direct it to limit it's response based on that context. \--- I use it for coding, so my workflow atm is to spend time with an AI agent in my IDE (Cursor, Windsurf, Roo, Cline etc) and create my architecture plan. I have the idea in my mind of how i want to build something, and i Use AI to flush out and transcribe that idea into text. Then i refine it into a format that another AI agent can use as the instruction set for development. Finally, I pass the detailed (sometimes 500 lines) prompt to an AI agent like Aider of Claude Code and very closely watch the output. I correct it's mistakes as it goes, always directing it to run and update tests after completion. It's unbelievable. In the last 3 months I've really focussed on obtaining a fundamental working understanding of the LLMs and it has DRASTICALLY improved my abality to control thm. Shoutout to IndyDevDan - he's a phenomenal educator that imo is leading the way in this area.

McNoxey

How much time do you have? I've spent hundreds of hours trying, learning and evolving my process. I don't have a ton of time to give you a detailed response right now, but I'll give you a really quick overview. Success in AI generation comes down to three things. Your model choice. Your prompt. Your context. You manage all of these. The AI Agents attempt to solve it, but this is like asking a car to create its own gas. You're in control so you can manage this. The Model is the engine. It defines what can and can't be done. You need to learn the limits of various models, what they'er good at and what they're not good at. It's the tool you pick for the job. Secondly is your prompt. LLMs work well off repetition. Keywords. Using solid keywords that convey a lot of meaning massively improve your output. Things like defining the types you're going to use early, then referencing those types further along in your prompt. The single class name now represents an entire data structure that the LLM understands. Finally, the context. What are you trying to do? What relevant information would *you* need to solve the problem? LLMs are trained on all of the world's knowledge, but you don't need all of the world's knowledge to solve every problem. Curate what sources/information the AI needs to solve the problem and direct it to limit it's response based on that context. \--- I use it for coding, so my workflow atm is to spend time with an AI agent in my IDE (Cursor, Windsurf, Roo, Cline etc) and create my architecture plan. I have the idea in my mind of how i want to build something, and i Use AI to flush out and transcribe that idea into text. Then i refine it into a format that another AI agent can use as the instruction set for development. Finally, I pass the detailed (sometimes 500 lines) prompt to an AI agent like Aider of Claude Code and very closely watch the output. I correct it's mistakes as it goes, always directing it to run and update tests after completion. It's unbelievable. In the last 3 months I've really focussed on obtaining a fundamental working understanding of the LLMs and it has DRASTICALLY improved my abality to control thm. Shoutout to IndyDevDan - he's a phenomenal educator that imo is leading the way in this area.

Nickeless

I’ve used it for multiple big government clients and it is absolutely slow and has god awful performance. It would take ages to run basic ETL tasks all the time. Crashes for literally no reason. Throws errors that made no sense because they were abstracted away in Palantir code and not related to the actual code I wrote. That would usually be fixed by closing the program and reopening. But sometimes it would be Palantir just having a bad day or few hours. It’s pretty atrocious software for the price. Also the IDE is horrendous. It couldn’t even highlight matching parentheses, although I think they recently added VS code, so maybe the IDE is usable now.

Nickeless

The search has gotten better over the last year. But yeah you are definitely full of it. I’m a programmer and have used it for over a year and know a lot of other programmers and non-technical users. The learning curve is steep and the interface confuses everyone for awhile. I also was using it at a massive gov organization to be fair, where there were so many datasets and projects with very similar names that it became very hard to use. Also the bugs you get when trying to run pyspark code are super annoying and the IDE is god awful. You can’t even get good parentheses / syntax highlighting. You get random weird bugs that aren’t related to your actual code, but to Foundry itself. Sometimes it just doesn’t work for periods of time randomly. Sometimes it starts working again if you restart it, sometimes not. Very Small transformations can be super slow at times. There are millions of super annoying issues that come up. Far more than other environments I’ve coded and done data engineering and data science projects in. AIP is absolute trash. Overall the software is still decent and definitely improving, but it has a shitload of annoying issues and is not that user friendly and has a steep learning curve.

Quietgoer

Their microcontrollers are not as popular as they used to be. MPLAB is a bit of a pig compared to other IDE, they have some niche stuff like the dsPIC33EP but most of their lineup isnt that special. They are some of the most awkward microcontrollers to program

reefersutherland91

not an app man. It’s code. It exists in plain text. That could be dropped into any IDE and used to create software.

Optimal-Mine9149

Speaking of them, they just released an IDE, trae Which doesn't seem too bad from the reviews And there's also UI-TARS, another chinese somewhat open source answer to open ai operator, harder to setup tho

2hurd

So wait, if I use Microsoft IDE to program then it means my app has already cost billions to develop? Great! I have to tell it to the IRS that I have such costs, can I quote you?

new_name_who_dis_

Auto complete is AI generated. CoPilot for IDE's which is based on the same tech as ChatGPT has been around since like 2020, and it's essentially an autocomplete.

Cameron12221

RDGL, a FDA play. Cancer treatment working directly with the Mayo Clinic and has been treating animals with tumors for a few years now as they worked on perfecting it and using the Early Feasibility Study program where the FDA gives you unlimited meetings and tells you exactly what they want before submitting for human trials (IDE). Mayo Clinic doctors is working directly with the company, and the Mayo Clinic has committed to perform their human trials in the USA. They recently announced they'll be starting human trials in Aisa soon. A lot of potential in humans and animals. Obviously a high risk high reward play, but I think this one is worth in long term. Not a overnight flip unless you want to catch any run up when they submit for human trials. (IDE)

Nickeless

I’ve used it at multiple clients. I do data science and data engineering work, yes. Your whole post history and comments in this thread show you’re just a shill for a stock and don’t actually understand shit about technology lol. Do you program it on a daily basis? Doesn’t sound like it. Have you coded in their IDE? It sucks ass and is super buggy. You run into TONS of bugs that make no sense and are annoying to debug. Sometimes code will run and sometimes it won’t, even without making any changes in between runs. The IDE has no customization, you can’t even highlight syntax parentheses ffs. I’ve seen the shit Palantir engineers put together with the ontology, and it’s often awful.

Nickeless

Okay please explain what the “ontology” provides. Because I’ve used it for syncing data sources, data engineering pipelines, data analyses and dash-boarding. It does these things okay, but it’s overpriced. The code repositories tool is an AWFUL IDE and extremely buggy. From what I can tell, their ontology is just their marketing gimmick word for how the data relates to real life applications and that’s based on their own trainings. That concept itself has existed in RDBs since 1970. The implementation has changed and improved, but what does Palantir really do that’s so great?

MAGS0330

The process is ongoing. The IDE filing was amended to a presub filing and they are conducting a series of 8 ‘sprint meetings’ with FDA. The purpose of these meetings is to have a structured and accelerated means to discuss questions FDA has during the review process so mutually agreed up on outcomes can be achieved. The sprint meets should be wrapping up any day now. The company will provide an update to shareholders soon on the progress and next steps. All in all they are on the right track

Conscious-Sample-502

There's not evidence that the output will be correct 100% of the time of course, but my example is not speculation - it's already possible but just not widely used because of restrained amounts of compute. A large issue with people getting bad LLM outputs is giving it incomplete or unclear context/directions which this would help resolve greatly. Having an IDE with AI that can essentially "conceptualize" the data flow of an entire project is ground breaking and will improve quality and quanity of code produced even if it's only correct most of the time.

MAGS0330

Yes, they have probably around a dozen or so certified vet clinics using it. They are working with the FDA as we speak on getting their IDE to begin human trials working with Mayo Clinic. We are hoping to hear that FDA grants the IDE to begin this within 30 days— so this is the time to get in. Obviously, the big play depends on if they get the IDE but the therapy has been very successful in animals to kill cancer. I’ve held and added to this stock over 7 years. This is the only company I’ve held that long since i believe strongly in the therapy. Once they begin human trials and positive clinical data comes out this could be a 20x return. That timeline is fluid however and may be 1 to 3 years. At lease in the short term if they get the IDE Id expect a very nice pop. Due your own DD but I like this one

IronyElSupremo

This thread deserves said [sound track](https://youtu.be/_Jtpf8N5IDE?si=BrZLVb9PwMsf4aZf) by Queen. In all seriousness however, there is an issue with getting a little more spending cash in the older years though even if getting to those immobile years (tablet w/magnifying glass, .. repair work, potentially paying someone to run errands on Fiver or a similar app). Think the traditional glide path of %bonds = (100 - age) should be reintroduced.

eyevandy

Thanks! I'm a developer and this is exactly my feeling on its code generation. It's a tool of limited usefulness. I've heard from other guys that use AI to write simple scripts in languages they don't use a lot. And that's admittedly cool. I personally am not going to pay much for that, but some people definitely will. The problem for me is this concept that AI is going to start writing entire software applications on the level of a good human developer. I don't think we are anywhere close to that, and AI companies are starting to run out of runway. My coding IDE has the option to pay for AI-generated doc block comments. That's neat but it's not going to fuel a trillion dollar AI industry.

Cameron12221

$RDGL biotech/FDA play, cancer therapy for aninals and humans, mixture of hydrogel and Y90 injected directly into a tumor to kill the tumor from within without harming healthy tissue/cells around the cancer. Some key highlights: Received the Break Through Device Designation from the FDA (BDD) FDA guidance through the IDE process with the early Feasibility Study program (EFS) Working directly with the Mayo Clinic who will be performing the human trials once IDE approved (human trials). John Hopkins doing all the animal testing for the FDA and is offering the treatment at their animal hospital division. Treated many dogs, cats and horses with high success rate. Currently going for a type of thyroid cancer, but once approved they plan on doing other indications and eventually broad use (to use on any tumors) Many non cancer uses being looked at with high hopes of other possibilities. Not a over night flip, but the risk to reward ratio on this one is unbelievable. I'm all in for the long run.

derprondo

> They have to, as enterprise can’t send their code data to a 3rd party Not sure what you mean by this, the IDE plugin I mentioned we use sends entire codebases to GPT-4. We perhaps shouldn't be trusting OpenAI this much, but we also store all of our code on Github.com and AWS, GCP, and Azure have all of our infrastructure and the bulk of our data storage.

derprondo

I’m a developer and I’ve personally seen large productivity gains, with chatgpt and some internal LLM integration with my IDE having become an integral part of my workflow. Sometimes the gains are small, my IDE intelligently suggesting blocks of code saving me a minute or two of typing, to saving multiple days of trying to find solutions to issues for which Google would be useless.

MAGS0330

Another one that will go up from here is $RDGL. Take a look at it now— they are awaiting FDA approval for their IDE to begin Human trials on their cancer killing therapy

devAcc123

I am finally by my laptop and not my phone now. Co-pilot is a plugin for your IDE. You literally just type in "generate the following files for me but instead of for project/entity <X>, do it for entity <Y>. And then provide it whatever you want to generate. Say a JS project, "generate my routes, constants, app.js, cypress/jest tests, blah blah blah similar to the existing files." And then itll spit out like 6 files. And then say, "OK, not do that for X,Y,Z" and keep going and it just does it for you. For a Python project. "Generate my sqlalchemy DB models with the following columns <copy paste your docs here>. Generate DTOs for each of those models, createDTOs, updateDTOs, and deleteDTOs for each model." <It outputs a handful of files> "OK, now generate a basic API to create and update each of those DTOs/Databases using the <whatever your companies choice is> pattern. "Configure the buildkite pipeline for this project". Etc. You just did 1-2+ days of work in maybe 10 minutes.

devAcc123

Copilot or chat gpt, try to keep up lol. These tools exist both within and outside of the IDE

PiotrDz

You have written before that you are opening a project in IDE and prompting it to generate another one, similar. So I have assumed that you generate it through IDE. Now you tell me that you generate files with some external tool? Can you tell exactly what tool do you use? For example, I imagine something like: I open chatgpt and write it that I want to generate a micronutrients project with postgres database access. It shall have some entities already prepared (describe the properties of some entities) and endpoints ready. It will not work of course, so i am curious how do you do it? Can you provide such example? I am only seeing people telling stories but never details.

PiotrDz

I am asking you if you had personal experience, don't advocate for something you haven't used. So have you personally generated files foe you project just from AI? Which IDE?

devAcc123

It is but you can also do something like open a project in an IDE and simply type “generate another project with similar boilerplate code but for X instead of Y” and it’ll do like a full days worth of work for you in 3 minutes. Then you just need to verify it yourself and fill in the business specific pieces yourself.

lost_in_life_34

they did, something like 30% of all data processed was overhead due to having to move data across different chips and cards and from storage and RAM and whatever back in the 90's I had a sound blaster card with the IDE controller on it. My game loads went from 90 seconds to like 10 seconds. People I talked to bought into SCSI and they would play stuff with a lower CPU spec'd PC because the SCSI card and HD took a lot of the CPU load off the rest of the system. SoC's are just the modern version with almost everything on the same chip or board to reduce processing overhead

SoftDisclosure

Claude from Anthropic via cursor AI IDE has made coding about 5x to 10x easier and has improved my stress levels and output on a day to day basis. Easiest 20 bucks a month that I've ever paid

MrMongoose

I see AI as very analogous to the internet during the early dotcom boom. It is very clearly a powerful technology that has world-changing ramifications - but it may take a while before we figure out the best way to leverage it and create all the necessary groundwork. I don't think AI is overhyped. Actually, I think people largely don't appreciate its full potential. However, it could still be another decade or two before we fully reach that point. When we do, however, the world will be a very different place. It will be (at least) as large of a leap as the internet ushered in. If you're too young to remember needing to consult an encyclopedia or filling out an order form to mail away for something you may not fully appreciate the extent to which our lives have changed post-internet - and you may not realize that it all started with a 2400bps dial-up connection to ASCII message boards. That's about where AI is right now - somewhere between 'proof of concept' and 'marginally useful in certain applications'. 20 years ago the idea that a computer would be able to recognize a random image of a cat was virtually unthinkable. Now it can not only identify a cat - it can nearly instantly generate an new image of an American Wirehair holding a sparkler while flying over Mt. Fuji in a wingsuit. My programming IDE auto-generates about 25% of my code out of thin air with zero effort on my part. These are HUGE leaps, and they've occurred very quickly. The problem with AI is really just consistency. Something that fails 5-10% of the time isn't particularly useful in most cases - even if the results most of the time are mind-blowing. But that error rate will improve with additional training. More importantly, however, is that the learning algorithms are still being refined. Very soon we may be able to reduce the required training data sets by several orders of magnitude, for example. In the short term the AI bubble may (or may not) burst the way the dotcom bubble did. But, long term, I expect it to be a fundamental force in virtually all aspects of modern life - just as the internet has now become.

w3woody

To me, the single most important button on my desktop in my IDE is the one that turns CoPilot off. It's helpful sometimes (though I do spend a lot of time reading through the generated code to see if it's correct), but just as often it's constant offering of suggestions just gets in the way of writing good code.

derprondo

I'm a software / systems engineer and I use ChatGPT 15 times per day now. My company even built an IDE plugin to do real time code hints, which is pretty flaky but it's getting a lot better. ChatGPT isn't going to replace me anytime soon, but damn it makes getting out of the weeds a 5 minute problem instead of a 5 hour problem.

WishIwazRetired

I'm still disagreeing with your views on Apple but that's fine to disagree. Regarding them not offering a service, they have a music library that once hooked into, one just accepts. I think it's $10 per month and ALL music is included. Years ago we had our own libraries of music, mostly ripped from CDs but now, it's accepted that apple provides this. And being one of it's users, I have to say they do a very good job knowing what music I like and once I start listening, they serve up sections that are appreciated (and that coming from an old guy that likes everything from classical to hip hop to techno). I have a lot of AAPL (close to 7figures) and have been looking to cut that back and move to more safer more generic bets like SPY, VOO and QQQ. But the reason I hold is AI. Apple makes products that last a relatively long period of time so there are concerns that their hardware sales are flat-lining. Now, let's consider AI and Apple. If they do a great job with Apple Intelligence, everyone that wants to play will need to get new phones. That's because Apple has stated that only version 15 Pro models have the CPU to complement their AI offerings. Everyone that wants to appreciate the new OS's will need to buy new phones. THIS is a huge change in the prior course for Apple hardware. They have recently noted that they may be offering AI as a "service". I'm not so sure I like this but it benefits them on a longer horizon. Regarding AI in general; it will be as large as the Internet regarding it's change to our lives. IF, someone does not recognize that then I could understand their lack of seeing how this will benefit any ecosystem. Personally, I've used AI to write Content. Ok, that's cute and works and now everyone is doing this. I've used AI in programming and my IDE (design tools) have integrated it to the point where it writes code and then will explain why. Who needs to go to school when this kind of knowledge is readily available? But where AI shines is in ChatGPT 4.o conversations. Holy fucknuggets, it's amazing how smart and intuitive the conversational model is. For instance, I am learning Spanish and pose a question in the difference of two closely sounding words (Compermiso and Con Permiso). I'm able to talk to the AI, get a clear explanation of difference and then it can tell if I am making a proper pronunciation. Now I will quit my other apps like Dualingo and just ask AI to teach me new verbs in Spanish and so on... Once people integrate AI into their lifestyles, again, like the Internet, there will be no turning back. There will be some reluctance regarding "your data" but we all look the other way on that regarding the Internet because of the benefits. So, I'm sticking with APPL for a few/couple more years, hopefully not too many, then moving more of my portfolio to Index Funds and maybe more Real Estate. And if things change in the world, I'll be more then happy to change course at that time.

thejumpingsheep2

I implement code for the team on the sysops side right now. So I can tell when a programmer changed their style. The way they comment. The way they use loops. The use of built in functions they never used before in a manner that's inconsistent with past code. The creation of redundant functions that they themselves added to our libraries in the past (lol). Mind you its not better or worse, but its fundamentally different for no good reason and the end result is code thats just... sloppy. I let them get away with it, because frankly, sloppy working code is better than a butthurt worker. I have better things to do than deal with emotional crap at work. The 1st two point you make are sort of what I alluded to. If you are seeing new stuff often, an LLM might be ok though im still not sure I would trust it. But how often do you change frameworks? Are you working as a support person between many clients who use differing frameworks and you have to troubleshoot their stuff? If so, then ok that makes sense. Some of the other points were already being done without AI. Things like doc strings, comments, autocomplete blocks of code, testing, etc were already largely automated by major IDE's since the 90s. You dont need AI for those. I cant imagine AI will make them better. I can see AI making it worse... a computer trying to emulate informal language means it can present garbage to the fold. Optimization... depends on your server I suppose. Most SQL servers do the bulk of this for you automatically. I suppose there are times when they dont but an LLM will catch that for the specific server you are using? Thats not my experience with these tools. LLM are usually too general. They cant handle specifics very well. And if they get it wrong, then you lose time checking their work. Did someone train it specifically for the server you are using? Maybe if thats the case. I like how you measured your work efficiency. I wish my workers did that...

MAGS0330

$RDGL all the way— their cancer therapy actually works and has killed cancer in pets for years. They are so close to FDA IDE approval. This one is gonna make me rich

MAGS0330

$RDGL ALL THE WAY! They will definitely get the IDE after this last extension from FDA… great time to load up on the recent pull back

ilust4pantyhosewomen

I am going to frys and buy an AMD VGA IDE card.

galaxy1011

IDE is killing companies and ultimately western civilization

Special-Mixture-923

IDE rather be dumb with millions like him than smart and broke like you!!

MAGS0330

You are not too late. They are still awaiting their IDE from the FDA. That’s when the party really begins!

MAGS0330

I’ve said it a thousand times over the past 6 months— but anyone looking for a promising biotech that has a high likelihood of returns in the next 30-90 days should absolutely look at Vivos Inc ($RDGL). They submitted their IDE application to the FDA to begin clinical trials with Mayo Clinic on their cancer killing therapy RadioGel and it looks like they will get it.

_etherfish

tradestation has a ridiculously complicated fee structure and their coding IDE is terrible

MAGS0330

No, they applied for the Breakthrough Device Designation (BDD) but were not successful at that time— they reapplied last year for the BDD and were granted it by FDA in December 2023. This recent filing is for the Investigational Device Exemption (IDE) which now that they have the BDD in hand should help greatly with their ability to secure the IDE

MAGS0330

Best is yet to come— FDA IDE submission is imminent. Clinical trials with Mayo Clinic / Johns Hopkins soon after. Best part is that the treatment actually works and has already been proven effective in animals. Not sure what your post is meant to do— it’s one day. Look at the trend over the last 3 months

MAGS0330

First big catalyst (IDE Submission) is expected by June 30. Clinical trials will begin after that.:. Timelines are tbd but the next 24 months will be a great time to be a shareholder imo.

MAGS0330

Yes, IDE will likely be accepted within next 90 days and human trials will start— we should see some great results within 24 months— after which this price will explode

casey-primozic

Enterprise, but I use the IDE for that from work that's already setup. I just want to run a quick test program with external dependencies. Everybody hates JS but it's so easy to start a project. npm init && npm add package && npm run is the gist of it.

Loose_Screw_

I'm a competent coder and my work requires me to switch between coding in node, scala and python fairly regularly, sometimes even doing some html for our frontend. Copilot helps me by suggesting common patterns like file reads and list expansions that I can't remember exactly and would have to stack overflow otherwise. I wouldn't say it's a game changer vs standard intelligence and IDE helpers but it does save a bit of time.

MarxKnewBest

Yes because transformers and fluid dynamics are the same thing. I’m a mechanical engineer who did a post grad to get into data science. I know exactly how much of this field I’d have understood without my post grad: next to nothing. AI’s potential to increase productivity at enterprise scale is mind boggling. Literally every day I ask Claude and Code Whisperer for help doing things in minutes that would take me several hours to put together. Now that is just me asking chatbots or getting suggestions in my IDE to reduce searching/typing time. Weaponized at enterprise scale, this shit can do borderline magical things.

ChymChymX

Try an IDE like Cursor AI with GPT 4. Your full code file is put into the context window, it can analyze, debug, suggest large or small changes, and apply those changes automatically. This will become even more ubiquitous when Microsoft launches Copilot Workspace. The software development landscape has been rapidly changing over the past few months, and will continue to evolve at light speed as LLM and inference tech progresses. Your entire repo will be context and AI agents will be able to multi task iterative changes to it using even better models, GPT 5, the next version of Claude, etc. And, where executives see this as an opportunity for saving money, they will generally choose to save money, even code quality is inferior.

NickSicilianu

Oh man, I have been an AVR junky for 15 years. This sadness me to see the grate chips, IDE and debug tools they have give us to work with over the years. I am not a big fan of MPLAB, used it a few times and it was buggy. If they do move to VS Code is not a bad thing, as long as everything is well documented and they don’t start with annual subscription shit. I knew Microchip was gonna kill what we had with Atmel the moment the acquisition became public 😭😭😭😭😭

NickSicilianu

As an embedded software engineer, I love Atmel chips. They have their IDE right in the dot, since it’s built on top of Microsoft Visual Studio. Slow but robust. I worked with an MSP430 which I used their IDE, and wasn’t too impressed with the tools. I also worked with the a STM32xx ARM and IntelliJ which provided a step up from their own IDE. But I do like their virtual system configuration tool, it spits out all the peripherals register values based on what you need, saved tons of time of banging the head on the wall and stock on reading erratic data sheets (one of the Atmel problems lol). On the Atmel side, ASF is a bloated mess, I hate it. They all have pro and cons. EspressIf (on the Chinese side) new node MCU are impressive, and their IDF installed on Microsoft Visual Code via extension and their debug tools are pretty good. Their IDF is amazing and well documented. I have used ESP32 and I am impressed with those little guys. Working FreeRTOS and lwip plus embedTLS right off the box, it’s sweet, makes you focus more on your application vs the low low level stuff and data sheets. I which Atmel would come up with similar MCU options.

ibhenry

I'm so ready! We're on Q2 and they're gonna announce FDA IDE Submission! My bags are loaded lfggg

Cameron12221

They've announced they are submitting the IDE request to the FDA by the end of this quarter (end of June). So if approved it could be any time as the Mayo Clinic doctors have already been trained to perform the therapy.

Glass_Eye5320

Amazon's mechanical turk service has been around for a long time. Many companies are investing in AI driven features (mine included, I work for a fortune 500 company), and not solely for hyping up investors. There are actual visions and use cases for it. The latest iterations of generative AI are amazing. Heck, even my IDE uses AI. As a programmer, I feel and hope that this will be the future. Cheap and fast AI is a dream.

hunterli168

This is actually another weakness of Intel's IDE business model. Intel r/D costs are mostly invested on their foundry business, which only makes Intel chips and it will take a long haul to gain outside customers, if any. In contrast, TSMC is making chips for Appl, nvda, amd, qcom, which effectively share TSMC's r/D costs. Pat may be leading Intel toward the right direction, but it will be a painful journey to play catch-up

ibhenry

Would love to see $RDGL do that when FDA IDE submission gets FDA approval

MAGS0330

Yall need to check out $RDGL… now THAT is a company that can explode. They are on their way to great things with cancer treatment and have FDA’s tough to get BDD designation, about to get their IDE.

zjz

It's way easier than people say it is. Get a solid IDE, get an LLM to help you, and find a good first project that you'll enjoy figuring out and is small.

ibhenry

Currently at $.11 , any thoughts on pos prior to IDE submission, IDE approval. And completion of clinical trials (how long do you think this might take?) And the possibility of a buyout anytime and for pps offer?

MAGS0330

Check out $RDGL… great time to invest, they developed a cancer treatment and are expected to submit their IDE to the FDA in the 2Q. Big upside!

MAGS0330

In this case, I’d reapectfully disagree. The investors have been waiting for the IDE for years now… when it’s finally submitted In think there is definitely room to run!

MAGS0330

The IDE hasn’t helped approval? Or the BDD? The BDD definitely helps and expedites the review process from FDA

MAGS0330

Crazy to me that no one knows about $RDGL… they are on the cusp of huge things with their cancer treatment, which has been proven effective in animals They got their BDD from the FDA in December 2023, and just advised shareholders they intend to submit their IDE to FDA in Q2. HUGE upside to this… check out the CBS News link here: https://www.cbs17.com/news/local-news/durham-county-news/cancer-therapy-for-pets-might-be-destined-for-people-durham-dog-among-early-animal-patients/amp/

MAGS0330

Everyone should look at $RDGL. I’ve posted about this separately on this thread if anyone is interested. They are primed to make a good run and are close to submitting their IDE approval to the FDA in Q2. Not much more time available to get in at the current price of $0.07/share. I can see a bump up to $0.20 early once IDE is submitted

FAANGMe

The implications of the ReALM system for iPhone usage and Apple devices are substantial, reflecting a significant step forward in enhancing user interaction and enriching the ecosystem of services Apple can offer. Here are some implications and possibilities it opens up: Enhanced Voice Commands and Accessibility Improved Accessibility: By more accurately understanding references to on-screen content, ReALM can greatly enhance the usability of voice commands for users with disabilities, making iPhones and iPads more accessible. Hands-Free Operation: This technology enables more sophisticated hands-free operation of devices, crucial for situations where users can't physically interact with their devices, such as driving or cooking. Advanced Siri Capabilities Context-Aware Assistance: Siri can become significantly more context-aware, understanding references to apps, data, or content currently on the screen or recently interacted with, making the assistant more intuitive and efficient. Dynamic Conversation Handling: The ability to handle ambiguous references enhances Siri's conversational capabilities, allowing it to engage in more natural and flowing dialogues with users. Augmented Reality (AR) and Spatial Computing Spatial Computing: Encoding spatial positions into text for model understanding opens new avenues in AR, where Siri could interact with or reference virtual objects placed in the real world, enhancing user interaction in the AR space. AR Content Creation and Interaction: Developers could leverage this for more interactive AR apps where users can use voice commands to manipulate or interact with AR content, potentially simplifying complex UIs. Enhanced App Interactions Cross-App Functionality: The ability to understand screen content and references could lead to smoother cross-app functionality, where users can reference data or actions in one app while using another. Personalization and Context: Apps can offer more personalized experiences by understanding the context of user actions and screen content, tailoring responses, and actions to the individual's current needs and tasks. Development and Debugging Voice-Driven Development Tools: For developers, voice commands could become a more integral part of the development and debugging process, enabling hands-free coding, testing, and navigation within the IDE, potentially integrated with Xcode. Security and Privacy Considerations Enhanced Security Protocols: With increased understanding and interaction capabilities, ensuring secure and private interactions with these devices becomes even more crucial. Apple would likely need to enhance security protocols to protect user data and interactions, particularly when sensitive information is displayed on the screen or referenced in conversations. The integration of ReALM-like systems into Apple devices signifies not just an incremental improvement in voice interaction and accessibility, but a leap towards more immersive, intuitive, and inclusive computing experiences. Apple's strong emphasis on privacy and security, combined with its innovation-driven approach, suggests these advancements would be implemented with careful consideration of user trust and data protection.

MAGS0330

They have two big things going for them— 1) They got the FDA’s BDD and 2) they have a ton of data on the animals treated… The FDA grants BDD status to devices that have the potential to provide a significant improvement in treating life-threatening or debilitating diseases. This designation can expedite the review process for IDE approval, but it doesn't guarantee approval itself. The FDA will still need to be convinced of RadioGel's safety and effectiveness through clinical trials, but all in all the chances look very very good

MAGS0330

The difference is this company will make you a ton of money if you invest now before IDE

djdecent

Or lost it on an old IDE hard drive because their parents told them it was worthless and to stop wasting electricity mining 😢

WLufty

I know, doesn't change much tho, I didnt want to go and figure out which package I needed for my quick POC.. again I use it when I've not much of an idea, if I know what I need I just write it with the IDE, most of my work isn't writing huge amount of boiler plate code, the amount of lines I write per day is probably under 500, but yea if you need something niche like mail, you are out of luck with chatgpt, but if you need a button/form/something that has >10k examples on google, then you can get something out of it. With that said I probably need to try copilot instead, that might be better for my usecase, but most of my time is spent writing code I already know, these POC are only for RFCs/new architecture, I write faster than the time I spent wrangling chatgpt to produce what I need.

Broccoli_Ultra

You're getting slammed here by people who clearly don't work in the field. I use ChatGPT for an engineering role if I need some speedy syntax help occasionally but people who think developers sit staring at an IDE all day know nothing about the job. There are too many specifics for an AI to understand the environment we work in and any response we ask for would be too general to be useful - meaning you still need to understand and write the code. Plus I work in government - there is no way in hell our government is going to let an AI, let alone a foreign-owned one do anything of significance within our infrastructure, even if it was capable. I know a data scientist who has been automating roles for a major UK utility company for going on a decade and there was no related stock hype because people don't understand machine learning. Now LLMs can generate pictures people 'get' it and throw money at it. I say this as someone who has used image gen a decent amount and thinks there is reason to be excited about the future of AI.

Cameron12221

Even this price action is meaningless. Once they get the IDE to start human trials, that's when things will get really interesting.

Jedclark

I think things like copilot (the one for coding, haven't tried the general one) are a really good start, I can see more and more companies paying for licenses for their engineers because of how good it is. The copilot chat is a really good feature too, it's like having a personalised stackoverflow without needing to leave the IDE. Just the code generation on its own can save you a ton of time. I've had it generate pretty much entire files that barely needed changing.

just_anotjer_anon

Godot is gaining more and more traction in the mini indie scene, I haven't toyed with it myself. But I've been told it's Unity with less features and a worse IDE - However the engine is completely open source, which makes everyone trust it (as there is no license with retroactive clauses)

Cameron12221

Typically yes, you should normally see the price go up. Getting the IDE approved means the FDA is happy with your data and everything else. This allows you to start human trials which is a big deal. I would expect the share price to jump after each phase (generally there's 3 phases) due to the fact you're getting closer to the full FDA approval to market your product showing confidence. Most people will wait to get in after a company gets their IDE approved to start human trials, however, there's still a lot of risk going through the 3 phases. Another positive thing about this company was they applied for the break through device designation a couple years ago. They were originally denied due to lack of testing data. Basically the FDA wanted more data done the way the FDA requires it. Although the FDA denied it, they did say that they agreed the product was technically considered break through. The FDA recommended the company should use the EFS or Early Feasibility Study program where the FDA will hold your hand through the process leading up to the IDE. Imagine your teacher giving you the answers to the test. They have multiple meetings saying we want this, this, and that. You do it. Go back, they review it and make recommendations on any changes until they are happy. This process took longer than just applying for the IDE, but as long as you do what the FDA asks and your testing data comes out good, it's almost a guaranteed approval for the IDE. Plus you might have a small jump on the clinical phases. The company out of nowhere announced that the FDA granted them the BDD break through device designation which means they think it's a new, safer, and more effective treatment for the current indication (this is pretty rare to get kinda a big deal). This also speeds up the process of clinical trials and getting moved to the front of the line for FDA meetings. Again to be very clear, this is a high risk high reward investment and biotech plays will normally fail. Only put in what you're comfortable losing. I'm extremely confident in this company long term, but nothing in this world is guaranteed.

homer1296

I'm new to biotech plays, do stocks normally experience a jump on IDE approval? The company looks promising, but I'm not sure if the price would occur say after each successive phase of clinical trials