3 sources filed · EN 3
Step 1: existing code search across about 1,000 repos wrapped as an MCP tool, then docs and wiki readers, feature flags, task management and the data platform.
30exposed tools beyond which agents slow down and degrade, per the speaker
Without the sentence, 90.1% of choices matched the stale file: 86.4% for Claude Code, 93.9% for Codex CLI.
90.1%share of agent choices (649 of 720) that followed a stale instruction file over the existing code
SkillClash: 16 jobs (commit messages, PR descriptions, SQL queries, bug reports and others), each with two skills of six rules and one worked example.
93 to 99%share of a skill's rules followed when that skill is loaded alone
2 sources filed · RU 2
Interface: start "task name" opens a session and returns the current SDK description; run "Python script" executes code on the server in a sandbox with the user's permissions.
2commands in the whole agent interface: start a session, run a Python script
Earlier stages of the experiment: git plus Obsidian (8 February 2026), Personal OS structure (27 February), comparison with Karpathy's LLM Wiki (5 April), an agent persona (23 May).
~1,500documents in the Personal OS knowledge base moved from a git repo to a server