Codex-maxxing

armada1122

The diff-as-review point is the one I keep coming back to. The cost of memory-as-files isn't writing them. It's that the agent will cheerfully claim it updated something and not actually do it, or write a one-line stub that satisfies the spec but loses the original signal. Without a verification layer, the vault accumulates plausible-looking entries that quietly drift from reality. What ended up working for me was treating the agent's self-reported summary as a wish, not a fact. A separate process diffs the actual file system against the claimed changes and flags mismatches. After a few cycles, the agent gets calibrated and stops claiming things that don't survive a file check. That has the side benefit of making the diff review itself much higher signal: most of what shows up is real. The split I'd make early is per-agent instructions vs. cross-thread shared notes. They sound like the same artifact, but “what this agent should always do” and “what sibling work just learned” age very differently. Mixing them means the wisdom gets stale together.

parf02

Most people I know underutilize voice mode. Such a game changer for making brain dumps the LLM can just gobble up

mohsen1

in tsz ( https://tsz.dev ) I am Codex-Maxxing with this: Give each Codex an AgentName and ask them to mark their PR/issue/comments with those. Have one or two "managers" that manage PRs and overall project direction. I write the project directions and make long lasting issues. Each Codex session has an almost unachievable `/goal` but they are asked to achieve the goal by landing changes in `main` via PRs I am running about 14 Codex sessions on 4 machines right now for about two weeks since OpenAI 10x'ed my 20x account and I simply can not run out of tokens fast enough. Side note: I have multiple Claude accounts too but the new Claude Code `/goal` command is seriously broken. It waits long pauses between iterations and sometimes prematurely stops.

esperent

> Every 30 minutes, check Slack and Gmail for unanswered messages that need my attention... > When I come back to Slack, replies are often already sitting in drafts. I still decide what gets sent, but the expensive part of gathering context is done. This just feels so dystopian to me. I hope that I never work with you or someone else doing this. I personally do use LLMs for work messaging but I'm extremely careful to state clearly like "here's a draft for that quotation request that Claude wrote:" or something like that. I would never present that as my own words.

4k0hz

The author of this post works at OpenAI on the Codex team.

grebc

All the AI stuff lately is just like Unix Porn reddit but posted to places where the people don’t care about it.