fc9bd70aff
The STATE.md write lock (acquireStateLock) and the .planning/ workspace lock (withPlanningLock) stole contended locks on mtime age alone with no process.kill(pid,0) liveness check, and mis-ordered stale-vs-wait so a live-but-slow holder could be robbed mid-critical-section. M1 (lost update / STATE.md corruption): a live writer whose critical section ran past the stale threshold aged out and a waiter unlinked its lock and acquired -> two writers in STATE.md's read-modify-write window. mtime is a leaky proxy for "holder is alive"; it leaks under exactly the slow-holder condition the lock guards against. M2 (uncaught EEXIST): withPlanningLock's timeout fallback unconditionally unlinked whatever lock existed (even a live holder's) and re-acquired OUTSIDE any try -- a concurrent re-create raced a raw EEXIST out of the helper. Fix backports capability-lock.cts's liveness gate (process.kill(pid,0) via a _setLockProbes/_resetLockProbes test seam): - acquireStateLock: steal when holder pid is DEAD (any age) OR age exceeds a deadman ceiling (60000ms, ABOVE maxWaitMs=30000) so a verified-live holder is never stolen within budget; garbage/legacy bodies stay recoverable. - withPlanningLock: same gate in the EEXIST path (dead stolen promptly, live waited on); removed the unconditional force-steal -> clear timeout throw, which also closes M2 (no re-acquire outside try). Uncontended path unchanged byte-for-behaviour; realClock + real process.kill remain the defaults. Pid-reuse residual fails safe (waits/times out, never corrupts) and recovers at the deadman ceiling. Tests: TDD red->green via the clock + new pid-liveness probe seams (no wall-clock; #453 deleted the race tests). 8 new behavioural tests across tests/clock-seam.test.cjs and tests/planning-workspace.test.cjs; the prior withPlanningLock timeout test rewritten to pin the no-force-steal contract. Claude-Session: https://claude.ai/code/session_01R88n7Q54bAaVHFkDbbH1yz
GSD Core
Git. Ship. Done.
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A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Gemini CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.
What is GSD Core
GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Gemini CLI, Kimi CLI, Copilot, Cursor, and more) through a disciplined phase loop. It solves context rot — the quality degradation that accumulates as an AI fills its context window — by running all heavy research, planning, and execution work in fresh-context subagents while keeping your main session lean.
How it works
Each milestone repeats the same five-step loop, one phase at a time:
- Discuss — capture implementation decisions before anything is planned
- Plan — research, decompose, and verify the plan fits a fresh context window
- Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
- Verify — walk through what was built; diagnose and fix before declaring done
- Ship — create the PR, archive the phase, repeat for the next one
Quickstart
npx @opengsd/gsd-core@latest
The installer prompts for your runtime (Claude Code, OpenCode, Gemini CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more) and whether to install globally or locally. The installer is required for cross-runtime compatibility — do not copy files from agents/ or commands/ directly.
On another runtime or without Node.js? See Install on your runtime.
Once installed, start your first project:
/gsd-new-project
New here? Follow Your first project for a guided walkthrough from install to first shipped phase.
Documentation
Tutorials — learning by doing:
How-to guides — task-focused recipes:
Reference — authoritative facts:
Explanation — concepts and design decisions:
Full index: docs/README.md. Other languages: 日本語 · 한국어 · Português · 简体中文.
Why it works
Most AI-coding setups fail at scale because context bloat silently degrades output quality, there is no shared memory between sessions, and nothing verifies that code actually works. GSD Core solves all three: heavy work runs in fresh subagents, structured artifacts like STATE.md and CONTEXT.md survive session boundaries, and the verify step walks through what was built and generates fix plans before a phase is declared done. See docs/explanation/context-engineering.md for the full reasoning.
Troubleshooting? See docs/how-to/recover-and-troubleshoot.md.
Community
| Project | Platform |
|---|---|
| gsd-opencode | Original OpenCode port |
| Discord | Community support |
Star History
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.