I'm refactoring an older part of the codebase (subagents) that touches a lot of code, and autoreview is running for 5h already and fixing tons of issues. https://
github.com/openclaw/agent
-skills/blob/main/skills/autoreview/SKILL.md
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TOOLS
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Refactoring subagents with autoreview running for 5 hours fixing issues
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Anticipation of GPT-5.6 release, hopes for better vibe
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Looks like GPT-5.6 release is very close. Really looking forward to it. 5.5 already is an insanely good model. Hope it gets a bit better vibe tho
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Added multiplayer and AI understood to be quiet
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I added multiplayer and told codex to shut up, and it was smart enough to understand the situation. xD
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Cloud codex runner using Cloudflare Firecracker and Ghostty
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Still limited by compute, so I built a thing that runs codex in the cloud, powered by @Cloudflare firecracker boxes (and since that's not beefy enough for larger projects, tests are run via crabbox) Uses Ghostty ofc, via WebAssembly.
Codex replicated itself, basically. -
Are Linear ticket agents like OpenAI Symphony?
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Agents from linear tickets, so like https://
github.com/openai/symphony ? -
Autotriage skill reads VISION.md and autonomously handles issues/PRs
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I built an autotriage skill for codex that has a set of guidelines + reads VISION.md from my repos, so issues/prs that have a clear way of
– fit vision of the project
– being inferrable in code with high confidence
– clear fix
– can be live tested Are now worked on autonomously. -
Integrating Generative AI Tools Into Single Workflow
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just stringing this into a single input > output workflow would be sick. Genie 3 for control, vid2vid for looks, but all in one. The “everything will be generated” quote from Jensen is getting more and more real tbh
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Codex for building and debugging iPhone simulator end to end
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Codex for building and debugging an iPhone simulator end to end: https://t.co/qA5WlK0OzA
— Greg Brockman (@gdb) 23 mai 2026Codex for building and debugging an iPhone simulator end to end:
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Gemini AI Studio vs Consumer App Design Tradeoffs
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AI Studio is for developers and defaults to higher thinking levels (in general). The Gemini app is a consumer product with 900 million MAU where we are trying to balance latency, cost, intelligence, etc with an opinionated product experience. The constraints are totally