skip to content
Topic

mtor

5 essays on this topic.

Papers
  1. Assume the LLM never ran

    A 208 MB log, 59,356 retries, and zero LLM calls. A debugging story about what happens when the symptom lies about the cause.

  2. Overnight Autonomous AI Coding: What Actually Works

    I left an AI coding pipeline running overnight with 21 monitoring cycles. 5 features merged, 10 specs dispatched, 3 root causes found. Here's what worked, what broke, and the quality of the output.

  3. The One Env Var That Cost a Day

    ANTHROPIC_API_KEY vs ANTHROPIC_AUTH_TOKEN — how a single wrong environment variable made an AI coding pipeline silently fail for hours, and the debugging journey that found it.

  4. I made my coding agent dispatch system improve itself

    I dispatched a 952-line monolithic CLI through my own coding-agent dispatch system to be refactored into seven modules. It worked. Notes on what self-bootstrap reveals about agent harness design.

  5. The architect-implementer split: why your expensive model shouldn't write code

    Smart model plans, cheap model builds. The pattern everyone's converging on for AI coding agents — and the piece nobody's shipped yet.