Kimi, GLM, MiniMax all had recent releases and are good.
@steipete
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GitHub Action triggers codex to compare against VISION.MD and implement
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It's not! It trigger a GitHub Action, spins up codex, compares it against VISION.MD and if a fit, implements it.
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Agent automatically evaluates and implements open source issues
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If you make an issue on one of our open source projects, an agent will spin up and decide if it's a good idea and will implement it for you.
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Codex does by default what Claude needs extra work for
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huh, that needs extra work for Claude? Codex just does that by default.
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Open platform vs lock-in with company-controlled prompts
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depends if you care about an open platform and model choice or being locked in to one company that decides which prompts are okay and which will be blocked or routed to weaker models.
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Test automations running through popular open models with careful harness engineering
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I have test automations that run through a large set of popular open models, many require careful harness engineering to work well.
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Automated PR creation from issues matching VISION.md
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Whenever you create an issue on one of oure open source projects, @clawsweeper will review it, and *if* it fits the VISION.md file, will pick it up and create+autoreview a PR. e.g.:
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Coding intelligence reduces bugs; ds4 engineering is great
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IMO for coding you want ad much intelligence as possible to ship better code with fewer bugs. ds4 is great engineering tho.
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Comparing token count to coding, can use Sonnet-class model
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compared to coding these are very few tokens, and you can even use a Sonnet-class model (= gpt 5 mini)
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It runs on Codex, Copilot, or their own harness
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it runs on codex now. or copilot. or our own harness!