06eba5fdb0
* test(#4130): failing-first regression for phase-prefixed decision IDs Add the #4130 matrix: D4-01/D12-01 across all three bullet forms, tags, discretion, wrapped lead-ins, gate-level plan/verify end-to-end rows, and parity properties (well-formed digit-prefixed ids parse to their exact id; a non-digit injected into the prefix fails loud). Update the #2347 non-D-prefix fixture from D5-NN (now a legal grammar) to DEC-NN, and graduate the representative d5-prefix corpus fixture from could-not-parse to parsed-but-uncovered. All new rows are RED against origin/next; they go green with the parser fix in the next commit. * fix(#4130): parse phase-prefixed decision IDs (D4-01) The three declaration grammars, the parse-miss guard, the #3939 join regexes, and the token evidence all anchored on the literal 'D-' (or '**D-'), so an ID carrying a digit-run phase prefix between the leading letter and the hyphen matched nothing — while the #2347 shape detector correctly called those bullets decision-shaped, collapsing the whole CONTEXT.md to could-not-parse with 0 extracted instead of a coverage verdict. Derive the extractor ID grammar from one shared DECISION_ID_SOURCE ('D[0-9]*-' + the existing alnum tail, full id captured), widen the guard/join anchors to ID_ATTEMPT_SOURCE (bare 'D-' or a digit-initial prefix run, so a typo'd 'D4x-01' fails loud while letter-initial prose like 'Deferred-until' stays none-present), and align the bare-token evidence. Both gates and the gap-checker share the parser, so all three surfaces read phase-prefixed decisions now; the gate messages name the accepted forms including the phase-prefixed one. * docs(#4130): document the phase-prefixed decision identifier form The canonical CONTEXT.md reference said decisions carry 'a sequential D-NN identifier' with no mention of the optional phase-number prefix the parser now accepts (D4-01) or the alphanumeric tail it always accepted (D-INFRA-01). Name both in the Decision identifier format section, EN and ja-JP. * chore(#4130): changeset * chore(#4130): backfill PR number in changeset --------- 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.