sim 573d39ea60 fix(#3103): refuse to reap on a PID the parse could not represent
A lock file whose PID is a digit string longer than 308 characters parses to
Infinity, not NaN. The default liveness helper then calls process.kill with it,
which throws a TypeError rather than an errno error, and that helper's catch
only recognises EPERM — so it returns false, meaning "the owner is dead", and
the worktree becomes eligible to be removed.

The reaper already fails closed for this exact situation. It wraps the liveness
call in a catch that sets alive and does not reap, with a comment saying
liveness could not be determined. That protection never fires here, because the
inner catch swallowed the error first and answered confidently instead of
admitting it did not know. A guard that cannot verify safety reporting success
is the defect this whole epic is named for, and it was sitting inside the one
function in the tree that deletes things.

The guard deleted earlier on this branch tested for NaN. That test really was
dead — a digits-only capture cannot parseInt to NaN — but the reachable failure
is non-finite, so removing it without correcting the predicate left the hole
open. The check is now for a finite value, and a malformed PID reports the same
lock_owner_unknown skip as an unparseable one, since both mean the same thing:
the owner is unknown, so nothing is removed.

Measured, not assumed: 308 nines still parse finite, 309 are Infinity. All
three of that boundary are covered, along with a 400-digit case that asserts
the worktree is still on disk afterwards — the consequence, not just the
verdict. Against a build with the guard removed, that case reports
pid_dead_and_merged and the worktree is gone.

The liveness helper's own catch still maps every non-EPERM error to "dead". The
fix belongs where the value stops being trustworthy rather than at the far end
of it, but that helper is worth revisiting on its own terms.

Refs #3057

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-06 01:08:15 -04:00

GSD Core

Git. Ship. Done.

English · Português · 简体中文 · 日本語 · 한국어

A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity 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, Antigravity 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, Antigravity 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 a new project or onboard an existing repo:

/gsd-new-project   # greenfield project
/gsd-onboard       # existing codebase

New here? Follow Your first project for a guided walkthrough from install to first shipped phase, or Onboarding an existing codebase for brownfield setup.


Documentation

What's new in 1.7.0 → docs/whats-new-1.7.0.md

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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