[akmarinov]

I’m one of those people.

Used Claude Code until September then Codex exclusively.

All my code has been AI generated, nothing by hand.

I review the code and if I don’t like something- I let it know how it should be changed.

Used to be a lot of back and forth in August, but these days GPT 5.2 Codex one shots everything so far. It worked for 40 hours for me one time to get a big thing in place and I’m happy with the code.

For bigger things start with a plan and go back and forth on different pieces, have it write it to an md file as you talk it through, feed it anything you can - user stories, test cases, design, whiteboards, backs of napkins and in the end it just writes the code for you.

Works great, can’t fathom going back to writing everything by hand.

[112233]

Glad to hear. For me, the process does not converge — once code gets big enough (it happens fast, claude hates using existing code and writes duplicate logic every oportunity it gets) it starts dealing more damage every turn. At some point, no forward progress happens, because claude keeps dismantling and breaking existing working code.

[akmarinov]

Yeah Claude was like that for me too. Give GPT 5.2 Codex a shot.

[zenethian]

Okay but has this process actually improved anything, or just substituted one process for another? Do you have fewer defects, quicker ticket turnaround, or some other metric you’re judging success?

[akmarinov]

Oh yeah, I’ve been a lot more productive, closing tickets faster.

These tools are somewhat slow, so you need to work on several things at once, so multitasking is vital.

When i get defects from the QA team, I spawn several agents with several worktrees that do each of the tickets- then i review the code, test it out and leave my notes.

Closing the loop is also vital, if agents can see their work, logs, test results it helps them to be more autonomous

[skibidithink]

How long did it take for you to get used to this workflow?

[akmarinov]

I started in July-August and it’s a learning curve, you start with “i’ve got all the power” and gradually learn the limits of the AI models, so you start closing the loop and getting them what they need to make sure that they’ll output what you consider acceptable.

With each new drop, they become more and more powerful, so it’s easier and easier to jump in.

Go look at Peter Steinberger’s stuff at https://steipete.me/posts/just-talk-to-it it’s a great way to get going.

Follow him and https://jeffreyemanuel.com/ on X to keep up to date on the latest and most advanced techniques to work with AI. Learned a lot from them.

[skibidithink]

Thank you for the leads!