| Resonates with me. In a paradoxical way, the amount of stuff you can get done in an hour now is like a firehose -- which we rarely experienced in our earlier life -- which can be overwhelming to my brain. So I subconsciously resist starting a session because I never feel fully rested, calm, and focussed to take all that and process it well. There are also 10x more "active" projects now -- and prioritization and choosing between them at every moment is still a struggle. The tempation to do the fun and novel thing and avoid important but familar boring chores pops up every step of the way and can derail you for days. I am still trying to create a system that works -- now using the very tools. Long journey ahead. EDIT: My experience -- I was paying for both Claude Code as well as ChatGPT Pro ...but was heavily almost exlucively using CC for coding work because it was so good. After CC started hammering the session and weekly quotas lately -- I tentatively srated using Codex and find that it seems equally good and almost indistnguishable for my work, and ocassionally shines by one-shotting some tasks. This helped me stay afloat with just 2x$20 spend per month without feeling held-up for ransom. Also never hit codex limits till now. Leaving a 5 hour session quota unused towards the end, or worse not even starting a 5 hour session clock, was a source of constant anxiety -- that I am wasting precious quota getting nothing done. I think I am getting over that now. |
I've found the best results from letting GPT 5.4 code and then asking Opus to do code reviews to a file. I do the review in a different agent session so it's "fresh". Then I review the file, edit until I agree with everything, and let the existing GPT agent session address the items in the review file. I've found Clause agents don't perform as well for me in coding for whatever reason. They feel more sloppy.
I've also been doing a very organic spec-driven development process where I have a md file for each non-trivial project update and use that to define the task and address questions or problems the agent has.
I've also found I can give agents conditional instructions which they will usually use like skills. This gives me a way to easily distribute my instructions to any agent/model on any machine with a single AGENTS.md as the entry point:
https://github.com/rsyring/agent-configs/blob/main/default.m...
This has all been very effective, more than I would have predicted a year ago.