AI AI Coding agents learning Learn Harness Engineering A 12-lecture curriculum on building effective harnesses that enable AI agents to complete complex tasks reliably — covering architecture, state management, session continuity, and observability patterns.
Tweet Share Post Copy Link Copied! Markdown Copied! Instagram Image Related Mostik Mostik's stealth-exit writeup on passing hidden states between frozen models through a trained bridge, so a 4B model decodes with a 753B model's latent context instead of its text. Agent Skills Discovery RFC Cloudflare's draft spec for publishing Agent Skills at a predictable URL — an index at /.well-known/agent-skills/ lists each skill as a single artifact with a type, a URL and a SHA-256 digest. Apache-2.0, v0.2.0, and a draft rather than a ratified IETF RFC. PostHog MCP Analytics Analytics for MCP servers — every tool call an agent makes lands as a normal PostHog event, so you get per-tool failure and latency, the agent's own account of what it was after, and the tools it went looking for and didn't find. Beta, behind a feature preview. harness-doctor Claude Code / Codex skill that mines the last N days of Claude Code transcripts across every project on the machine into five fact tables — bash, errors, tokens, human corrections, fan-out — and returns a ranked list of fixes with the measured number behind each one.