8793d307f6
* test(#4060): failing-first regression for repo-baseline subtest timeout race The "repo baseline passes" subtest in lint-allow-test-rule-refs.test.cjs drives the script under test via a spawnSync subprocess with a fixed 30s timeout, which races the script's real wall-clock completion against unbounded CI-load contention -- it has already died at this race twice (#4060, and once before at a lower bound). Rewrites the subtest to call the script's `main` directly, in-process, removing the subprocess timeout race entirely. This commit only changes the test (main is not yet exported), so it fails first with `TypeError: scriptUnderTest.main is not a function`. * fix(#4060): export lint-allow-test-rule-refs main() for in-process drive The "repo baseline passes" subtest previously drove this script via a spawnSync subprocess with a fixed 30s timeout, racing the script's real completion time against unbounded CI-load contention -- it has now died at that race twice (#4060, and once before at a lower bound). A fixed timeout racing unbounded contention has no value that is both tight and safe, so raising it again would not fix the mechanism, only its odds. Parameterizes main() to accept an explicit argv (defaulting to process.argv.slice(2) only when omitted, so the CLI entrypoint is unaffected) and exports it, so the test can call it directly, in-process -- removing the subprocess and its spawnSync timeout kill race entirely for this one row. * fix(#4060): capture stderr too in the in-process repo-baseline subtest Code-review finding: the in-process rewrite captured only console.log, but main()'s real failure path throws a bare, messageless ExitError -- all diagnostic detail goes to process.stderr.write. The old subprocess-based assertion embedded both stdout and stderr in its failure message; this silently dropped that debuggability. Captures process.stderr.write the same way (restored in finally) and surfaces both streams in assertion failure messages and in a wrapped re-thrown error on an unexpected throw from main(). --------- Co-authored-by: sim <sim@local>
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, Antigravity 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, 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:
- 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, 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
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.