Dave b2602cc61d fix: add deadman ceiling to withPlanningLock (M1/M2 R4-FIX asymmetry)
The M1/M2 lock fix (4903ee04) was asymmetric: acquireStateLock got a 60s deadman
ceiling (recovers a lock once its age crosses an absolute bound ABOVE the wait
budget) but withPlanningLock did not. The .lock body carries no startTime, so
_planningHolderVerifiedLive can only check pid liveness — it cannot detect pid
reuse. A false-alive holder (original holder crashed, pid recycled by an unrelated
live process) would therefore make withPlanningLock throw on every call with no
self-heal until the reused pid happens to die.

Mirror acquireStateLock: in the EEXIST branch, steal a verified-live holder anyway
once the lock ages past deadmanCeilingMs (60000 > lockTimeout 10000). mtime age is
measured from lock creation, so a stuck lock self-heals on a subsequent call.

Adds a clock+probe-seam regression test (false-alive holder past the ceiling IS
stolen). planning-workspace 13/13, clock-seam 34/34, locking suites green; lint clean.

Claude-Session: https://claude.ai/code/session_01R88n7Q54bAaVHFkDbbH1yz
2026-06-21 13:11:22 -04:00

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.

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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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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