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  • wow - this is huge! anthropic is officially walking back their decision . . .
    Kun Chen (@kunchenguid) 179 replies wow - this is huge! anthropic is officially walking back their decision about banning programmatic use of claude code subscription quota why is this a big deal? this is a signal that anthropic is revisiting their ecosystem strategy which many of us have been criticizing by allowing invoking claude code programmatically, anthropic will basically extend
  • im strongly against model companies focusing too much on harness, but . . .
    Kun Chen (@kunchenguid) 522 likes 248 replies i'm strongly against model companies focusing too much on harness, but i would love to hear if anyone has a strong argument for it my reason against it: if openai didn't build GPT 5 5, no one else can this is their core competence if openai didn't build codex cli and app, we have opencode and t3code building harness is NOT their core competence
  • time to reveal the next big gun in my agentic engineering setup . . .
    Kun Chen (@kunchenguid) 86 likes 12 replies time to reveal the next big gun in my agentic engineering setup - Firstmate! it's the only agent session i directly talk to now if you find it mentally exhausting to juggle between all the agent sessions, this is the solution free open source as always - details below 👇
  • Sharing a fresh experiment we just conducted in Atlassian. We taught . . .
    Kun Chen (@kunchenguid) 9 likes 🔥 Sharing a fresh experiment we just conducted in Atlassian We taught our Rovo Dev agent to use - Confluence for spec-driven development - Jira for task tracking - A Kubernetes cluster of cloud sandboxes It was able to autonomously run for many hours and one-shot an entire project that would take many days of manual work
  • want to point out a few really interesting things here 1. Claude Code . . .
    Kun Chen (@kunchenguid) 841 likes 74 replies want to point out a few really interesting things here 1 Claude Code is actually the worst performing harness when using the same model, significantly behind opencode and cursor cli this is the core reason i've been against the LLM companies focusing their business on locking people into their harness what they are good at is making great models
  • eval is done with https: t. co pp0rJuF1CF it is a good benchmark for . . .
    eval is done with programbench com it is a good benchmark for this question because the tasks reflect real world long horizon projects very well, and are difficult enough to push the agents very hard on all dimensions the tasks can also be implemented in any languageby default people use these coding agent benchmarks for evaluating LLMs, but i actually find it extremely useful and practical
  • sharing a pretty important primitive in my agentic engineering setup I . . .
    Kun Chen (@kunchenguid) 456 likes 20 replies sharing a pretty important primitive in my agentic engineering setup I call it "gnhf" - good night, have fun basically, every night before I go to bed, I would put my agents to work so I never wake up "empty-handed" it's done through a similar setup as @GeoffreyHuntley's famous ralph loop and @karpathy's autoresearch i just open sourced my
  • claude down again back to gpt 5. 5 ive manually achieved a 99. 9%+ high . . .
    claude down again back to gpt 5 5 i've manually achieved a 99 9%+ high availability setup by making my workflow completely agent-agnostic


















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