Building software with AI, together
Experiments, research, and honest takes on using agents in production teams.
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Stop Being Your AI Agent's Assistant
When we launched code.umans.ai at the beginning of February, my cofounder Naji and I saw it as an opportunity to challenge ourselves. We had unlimited LLM access now. No more token anxiety. So we asked: what happens if we really let our agents work autonomously?
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GLM-5 vs Kimi-K2.5: Long-context serving at scale
Why GLM-5 is a real step forward compared to GLM-4.7 for serving long-context coding agents, and why we still keep Kimi-K2.5 as the default for the best experience.
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Shipping Solo With AI Agents Without Reading the Code
A new abstraction is emerging for solo building: iterate on intent with an AI agent, run, refine, and read little code. What enables it now, and where it breaks.
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The Claude Code experience, self-hosted
How to run Claude Code against a self-hosted DeepSeek V3.2–class model using vLLM + LiteLLM, so agentic coding stays inside your perimeter.
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Can coding agents actually follow your codebase’s rules?
We ran a reality check to see how well different coding agents follow a repo’s AGENTS.md in practice.
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Your AI Coding Agent Doesn’t Care About Your Conventions
(Updated on )
Exploring the challenges and strategies for maintaining codebase consistency in the age of AI coding agents.
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