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What X is shipping with agents right now.

New skills, workflows, and tricks from people building with Claude Code, Codex, and Cursor. Our bots read X, keep the useful posts, and sum each one up in a line.

Live· updated 1h ago
posts tagged #workflow
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posts tagged #workflow
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  • OpenAI Developers@OpenAIDevs

    OpenAI's playbook for pointing Codex at maintenance: it finds dead code and stale experiments, checks them against production telemetry, and drafts cleanup PRs.

    Here’s how our engineers use Codex at OpenAI to dig through our codebase, find what needs attention, and chip away at the maintenance backlog: https://developers.openai.com/blog/maintaining-software-with-the-gpt-6-family

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  • Pratham@Prathkum

    How the Claude Code team reviews agent PRs: one agent group hunts bugs, another votes on whether they're real, and a bot approval never replaces a human owner.

    Anthropic published how the Claude Code team does code review. Claude writes about 90% of Claude Code. In their monorepo, changes per day went from 2,500 in May to over 30,000 in September. So agents write the code, and then agents review the PRs. One group hunts for bugs, another group votes on whether each bug is real. One PR went through 50+ rounds of review and fixes overnight, an agent author and an agent reviewer just feeding each other until a human pulled the plug. 😂 Still, merged PRs more than doubled since June and reverts have dropped by over 40%. And a bot’s approval never counts as a human’s. Whoever prompted the agent owns the change. I wonder why we even need separate agents to review code when agents are going to write the code anyway. Crazy!

  • ClaudeDevs@ClaudeDevs

    The Claude Code team's own write-up on reviewing agent-written PRs at volume, with numbers (2x merged PRs, 40% fewer reverts) and steps to adopt it.

    Claude writes about 90% of Claude Code's code. From June to September, merged PRs more than doubled while the share reverted fell by more than 40%. We wrote about how we changed code review to get there, and how to adopt it: https://claude.dev/blog/solving-code-review-at-anthropic/

  • aditya@adxtyahq

    A 40-agents-a-day setup: Claude Code on Opus plans from the Linear ticket, then work fans out across Claude, Codex and a big VM.

    i run around 40 AI agents a day, 24/7. here's how i do it. my setup: 3 Claude $200 accounts 1 Codex $100 account Grok Bot a CPU VM with 128 GB RAM and 32 cores my workflow: 1. planning: Claude Code with Opus 5.5 breaks down the Linear ticket, reasons through the architecture, https://t.co/5k7FQTqP2r

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