01Search infrastructure that agents can inspect and control
Agent Search MCP
The decision was not to find a cheaper search API, but to treat search as a product capability with multi-source verification, progressive disclosure, and replaceable engines.
Current evidenceAn external-PR investigation that scanned 93 open-source agent projects selected it as an architecture-validation case in the MCP search category.
Open case file →02Reversible MCP context compression
MCP Slim Guard
Reduce the context an agent receives first while preserving selected arguments, one upstream call, and exact recovery.
Current evidenceAcross a frozen set of 12 tools and 24 bilingual tasks, normal-path tokens fell from 71,388 to 17,007; all 24 tasks completed with 24 upstream calls.
Open case file →03Keep AI coding agents inside the current task boundary
Stop That Shit
Do not judge overengineering by line count or keywords. Check user authority, current consumers, reachable evidence, and whether omission would fail current acceptance.
Current evidenceThe public 0.2.0 release provides adapters for Codex, Claude Code, OpenCode, Hermes Agent CLI, and Pi, adds the standalone Stop That Shit Slop (STSS) Skill, and keeps paired Bad/Good Cases that preserve necessary work.
Open case file →04Make AI collaboration persist beyond a single session
Persistent AI Workspace
Treat documentation, handover, and reusable skills as product information architecture rather than post-delivery paperwork.
Current evidenceThe practice record covers trajectory mining across 196 sessions and turns the learning into reusable skills and a maintenance loop.
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