What are coding agents?

AI systems that generate, test, and sometimes deploy code autonomously, powered by LLMs like Codex or GPT variants.

How do feedback loops make coding agents better?

They provide error signals — tracebacks, lint fails, test outputs — letting agents self-correct in loops, turning one-shots into iterative engineers.

Nah, not soon. They execute; humans steer architecture and edge cases. But they crush rote work, freeing devs for high-value stuff.

🤖 AI & Machine Learning

Your AI coding agent generates slick code. But it flops in production because no one's feeding it real signals. Time to wake up.

theAIcatchup Apr 10, 2026 3 min read 11 views

Coding agents fail without rich feedback loops like tests and linters. 𝕏
Harness engineering turns agents into self-verifying engineers, as seen at OpenAI and Stripe. 𝕏
Invest in infra over models; small teams can start simple to boost productivity. 𝕏

Published by

Community-driven. Code-first.

#AI developer tools #AI feedback loops #Agentic Workflows #Stripe Minions #coding agents #feedback loops #harness engineering

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Originally reported by Dev.to