4,768 LLM Runs, Zero Lost Sweeps: Hardening a Field-Test Runner for Timeouts, Hangs, and Cost

I always wanted to make content. What stopped me was never the ideas — it was the four hours in a...

Learn how to apply circuit breakers, exponential backoff, and semantic observability to build resilient autonomous AI agent workflows that handle LLM and API failures gracefully.

The hype around AI coding agents has reached a point where "I use Cursor" or "I use Claude Code" is...

We have blurred the executable’s face to protect its identity. Its SHA-256 remains publicly...

I lost an afternoon to a config file last week. The graph name was right there in the JSON, spelled...

What ACES, WikiSkill, skill-eval, and my latest agent workflows taught me about evaluating skills, removing obsolete instructions, and moving knowledge into deterministic mechanisms.

How I gradually removed confirmation gates, added behavioral and architectural guardrails, and learned to let Codex CLI practise TDD autonomously.

How milestone-based execution plans helped me reduce the review burden, preserve decisions, and regain control over code generated by Codex CLI.

One second-hand item, one day, real numbers. How a pricing pipeline asked £79 for a £27 case, why the fix let a relevance model set a price by itself, and the two boring rules that stopped it.

Here is a scenario every developer using Claude Code, Cursor, or Aider knows too well: You prompt...