HumanLayer argues AI coding agents need full software-factory feedback loops
AxSaucedo · x · 2026-07-28
A long GitHub write-up from HumanLayer argues that "harness engineering is not enough" for AI coding agents. The piece asks whether teams should stop reading code and let agents make decisions autonomously, then answers with a more cautious workflow: route user feedback and incidents into the factory, keep orchestration/harness/sandbox/model layers explicit, and add human review and testing gates where needed.
The accompanying diagram lays out an "agentic software factory" pipeline: users, monitoring, prod, pull requests, CI/CD checks, agentic code review, regression testing, and both automated and human testing/review. The core message is that productionizing coding agents requires more than loops—it needs a full operating system for feedback, deployment, and verification.
Related event: Building Complete Software Loops: The Key to AI Coding Agents(2 posts)→
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