The AI "Doom Loop": Why Your Autonomous Coding Agent Is Making Things Worse, And How To Fix It
SMRTR summary
There's a peculiar frustration familiar to anyone who's handed a complex coding task to an AI agent: it confidently delivers broken code, then confidently breaks it further trying to fix it. Developers call it the "Doom Loop."
The problem, one engineer argues, isn't that AI models lack intelligence. It's that they lack discipline. They skip planning, skip verification, and when things fail, they guess instead of investigate.
His solution is a framework called Agent Rigor, an open-source collection of markdown files that essentially acts as an operating system for AI coding assistants. It forces agents through a strict six-phase workflow, requiring them to write a plan before touching any code, run actual tests before declaring victory, and read error tracebacks rather than hallucinating fixes.
The framework even bans phrases like "this should work." Proof is required.
As AI agents take on more autonomous roles in software development, the argument here is straightforward: speed without discipline is just chaos, faster.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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