cbd180c5cd
* test(#3147): bound the lint/changeset/docs cluster onto the process seam Migrates 69 unbounded sync spawn sites across 24 files. Allowlist 73 to 49. Two shared helpers move: tests/helpers/graphify.cjs (6 importing suites) and tests/fixtures/index.cjs, whose three quoted-argument shell strings became single argv elements rather than whitespace splits. changeset-lint's throw-native git() helper routes to gitOrThrow; migrating it to bare runGit would have silently swallowed a failure that is loud today. ingest-docs goes the other way -- its catch never rethrew, it degraded failure into data every call site asserts on, so throwIfFailed would have thrown where the original returned. The design doc said otherwise and was corrected. tsconfig-noemit runs a real tsc --noEmit and takes a bespoke 180000ms per the ensure-runtime-build precedent, not the 30000ms build-hooks norm -- that norm is for a file copy, and sizing against a label rather than the work is the same error in the opposite direction. * test(#3147): add toLegacyResult and settle review findings The seam exposed a throwing adapter (throwIfFailed) but no non-throwing one, so eight files independently re-derived the same unwrap back to the legacy {status, stdout, stderr} shape. That is the third time this epic produced N copies of one mechanism -- seven throw wrappers in Wave 1, fifty-two timeout constants in Wave 2, eight result adapters here. The pattern is that whenever the seam does not expose a mechanism, every suite re-derives it. toLegacyResult now sits beside throwIfFailed, with its own tests. Two sites are deliberately NOT converted: changeset-cli's runRender and runRenderIn return {status, report, stderr} from parsed JSON and never a raw stdout, so they are a different shape family. lint-legacy-dir-name keeps its local GUARD_TIMEOUT_MS: 30000 matches the build norm numerically but bounds a lint probe, not hooks bundling, and importing it would encode a coincidence as a relationship. --------- Co-authored-by: sim <sim@local>
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.
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.