251–260 of 487 posts
Just curious: is your company happy sharing their code-base with an AI provider? Or are you using a local installation?
why not? OpenAI won't be stupid to look at my code and be that vulnerable legally. It ain't worth it.
Of _course_ they are training on your shit.
Is anyone using any of these tools to write non boilerplate code? I'm very interested. In my experience ChatGPT and Gemini are absolutely terrible at these types of things. They are constantly wrong. I know I'm not saying anything new, but I'm waiting to personally experience an LLM that does something useful with any of the code I give it. These tools aren't useless. They're great as search engines and pointing me i…
A lot of people are deeply invested in these things being better than they really are. From the OpenAI's and Google's spending $100s of billions EACH developing LLMs to VC backed startups promising their "AI agent" can replace entire teams of white collar employees. That's why your experience matches mine and every other developer I personally know but you see comments everywhere making much grander claims.
Indeed, even codex (and i've been using it prior to this release) is not remotely at the level of even a junior engineer outside of a set of tasks.
I believe that code from one of these things will eventually cause a disaster affecting the capital owners. Then all of a sudden you will need a PE license, ABET degree, 5 years working experience, etc. to call yourself a software engineer. It would not even be historically unique. Charlatans are the reason that lawyers, medical doctors, and civil engineers have to go through lots of education, exams, and vocational…
Im sorry if Im being silly, but I have paid for the Pro version, $200 a month, everytime I click on Try Codex, it takes me to a pricing page with the "Team Plan" https://chatgpt.com/codex#pricing . Is this still rolling out? I dont need the team plan too do I? I have been using openAI products for years now and I am keen to try but I have no idea what I am doing wrong.
im the same, and it appeared for me 2 mins ago. looks like its still rolling out
I'm curious how many ICs are truly excited about these advancements in coding agents. It seems to me the general trend is we become more like PMs managing agents and reviewing PRs, all for the sake of productivity gains. I imagine many engineers are like myself in that they got into programming because they liked tinkering and hacking and implementation details, all of which are likely to be abstracted over in this n…
1. When I work on side projects and use AI, sometimes I wonder "what's the point if I am just copy / pasting code? I am not learning anything" but what I have come to realize is building apps with AI assistance is the skill that I am learning, rather than writing code per se as it was a few years ago.
2. I work in high scale distributed computing, so I am still presented with ample opportunities to get very low level, which I love. I am not sure how much I care about writing code per se anymore. Working with AI still is tinkering, it has not changed that much for me. It is quite different, but the underlying fun parts are still present.
In the preview video, I appreciated Katy Shi's comment on "I think this is a reflection of where engineering work has moved over the past where a lot of my time now is spent reviewing code rather than writing it." Preview video from Open AI: https://www.youtube.com/watch?v=hhdpnbfH6NU&t=878s As I think about what "AI-native" or just the future of building software loos like, its interesting to me that - right now - d…
https://constelisvoss.com/pages/a-computer-can-never-be-held...
Some engineers on my team at Assembled and I have been a part of the alpha test of Codex, and I'll say it's been quite impressive. We’ve long used local agents like Cursor and Claude Code, so we didn’t expect too much. But Codex shines in a few areas: Parallel task execution: You can batch dozens of small edits (refactors, tests, boilerplate) and run them concurrently without context juggling. It's super nice to run…
It looks we are in this interesting cycle: millions of engineers contribute to open-source on github. The best of our minds use the code to develop powerful models to replace exactly these engineers. In fact, the more code a group contributes to github, the easier it is for the companies to replace this group. Case in point, frontend engineers are impacted most so far. Does this mean people will be less incentivized…
More generally, specialty knowledge is valuable. From now on, all employees will be monitored in order to replace them.
When it runs the code I assume it does so via a docker container, does anyone know how it is configured? Assuming the user hasn't specified an AGENTS.md file or a Dockerfile in the repo. Does it generate it via LLM based on the repo, and what it thinks is needed? Does it use static analysis (package.json, requirements txt, etc)? Do they just have a super generic Dockerfile that can handle most envs? Combination of di…
More about that here! https://platform.openai.com/docs/codex#advanced-configuratio...