2 posts on LLM Agents.
A three-agent test harness that watches a Git repo, spins up a fresh Docker container per marked file, and lets an LLM simulate bad conditions like low storage, no network, and OOM.
A 720-step autoscaling environment with hardcoded seeds, curriculum injections on the hard track, and a commit history dominated by stdout-format compliance.
