Why hasn't Github released this? Why it's OpenAI releasing this?!
But they aren't moving nearly as fast as OpenAI. And it remains to be seen if first mover will mean anything.
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Why hasn't Github released this? Why it's OpenAI releasing this?!
But they aren't moving nearly as fast as OpenAI. And it remains to be seen if first mover will mean anything.
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…
As someone who works on his own open source agent framework/UI ( https://github.com/runvnc/mindroot ), it's kind of interesting how announcements from vendors tend to mirror features that I am working on. For example, in the last month or so, I added a job queue plugin. The ability to run multiple tasks that they demoed today is quite similar. The issue I ran into with users is that without Enterprise plans, complex…
Maddening: "codex" is also the name of their open-source Claude-Code-alike, and was previously the name of an at-the-time frontier coding model. It's like they name things just to fuck with us.
Just curious: is your company happy sharing their code-base with an AI provider? Or are you using a local installation?
not buying windsurf then???
> To balance safety and utility, Codex was trained to identify and precisely refuse requests aimed at development of malicious software, while clearly distinguishing and supporting legitimate tasks. I can't say I am a big fan of neutering these paradigm-shifting tools according to one culture's code of ethics / way of doing business / etc. One man's revolutionary is another's enemy combatant and all that. What if we…
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…
Lots missing here, but I had the same issues, it takes iteration and practice. I use claude code in terminal windows, and text expander to save explicit reminders that I have to inject super regularly because anthropic obscures access to system prompts.
For example, I have 3 to 8 paragraph long instructions I will place regularly about not assuming, checking deterministically etc. and for most things I have the agents write a report with a specific instruction set.
I pop the instructions into text expander so I just type - docs when saying go figure this out, and give me the path to the report when done.
They come back with a path, and I copy it and search vscode
It opens as an md and i use preview mode, its similar to a google doc.
And ill review it. always, things will be wrong, tons of assumptions, failures to check determistically, etc... but I see that in the doc and have it fix it. correct misunderstandings, update the doc until its perfect.
From there ill say add a plan in a table with status for each task based on this ( another text expander snippet with instructions )
And WHEN thats 100% right, Ill say implement and update as you go. The update as you go forces it to recognize and remember the scope of the task.
Greatest points of failure in the system is misalignment. Ethics teams got that right. It compounds FAST if allowed. you let them assume things, they state assumptions as facts, that becomes what other agents read and you get true chaos unchecked.
I started rebuilding claude code from scratch literally because they block us from accessing system prompts and I NEED these agents to stop lying to me about things that are not done or assumed, which highlights the true chaos possible when applied to system critical operations in governance or at scale.
I also built my own tool like codex for managing agent tasks and making this simpler, but getting them to use it without getting confused is still a gap.
Let me know if you have any other questions. I am performing the work of 20 Engineers as of today, rewrote 2 years of back end code that required a team of 2 engineers full time work in 4 weeks by myself with this system... so I am, I guess quite good at it.
I need to push my edges further into this latest tech, have not tried codex cli or the new tool yet.
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 a bunch of tasks at the same time (something that's really hard to do in Cursor, Cline, etc.)
It kind of feels like a junior engineer on steroids, you just need to point it at a file or function, specify the change, and it scaffolds out most of a PR. You still need to do a lot of work to get it production ready, but it's as if you have an infinite number of junior engineers at your disposal now all working on different things.
Model quality is good, but hard to say it's that much better than other models. In side-by-side tests with Cursor + Gemini 2.5-pro, naming, style and logic are relatively indistinguishable, so quality meets our bar but doesn’t yet exceed it.