ed31e52b67
* fix(#1988): exclude stray non-plan *-SUMMARY.md from phase completion count Stray remediation/gap-closure summaries (30-FIX-CR02-SUMMARY.md, 30-GAPCLOSURE-SUMMARY.md, …) inflated summary_count, and once summary_count >= plan_count the phase silently flipped to Complete even though several plans had no summary. A summary now counts toward completion only if it pairs with a real plan file. - core-utils.cts: new countMatchedSummaries(planFiles, summaryFiles) — layout-agnostic pairing via the PLAN→SUMMARY marker swap (root/nested/bare) plus the <stem>-SUMMARY.md form (bare PLAN.md↔PLAN-SUMMARY.md); the swap is applied to the basename only so a 'plans/' dir prefix isn't corrupted. - plan-scan.cts: scanPhasePlans.summaryCount/.completed use the matched count (summaryFiles array still holds every summary on disk for listing/reading). Fixes roadmap listing, state sync, verification, workstream inventory. - roadmap.cts: cmdRoadmapUpdatePlanProgress uses the matched count. - tests/roadmap.test.cjs: countMatchedSummaries unit tests (root/nested/bare/ stray) + E2E reproducing the exact #1988 report (4 plans, 1 plan summary, 3 strays → 1/4 In Progress, NOT Complete). Closes #1988 * docs(#1988): backfill changeset pr 2016 * test(#1988): strengthen countMatchedSummaries unit tests for mutation coverage Add direct unit tests for the extended (N-PLAN-MM-slug↔N-MM-SUMMARY), bare (PLAN↔SUMMARY, PLAN↔PLAN-SUMMARY), legacy (N-PLAN-NN↔N-PLAN-NN-SUMMARY), and stray-exclusion pairings so every branch of countMatchedSummaries is exercised (Stryker mutation-score coverage). * test(#1988): move countMatchedSummaries unit tests into core-utils.test.cjs The Stryker core-utils shard runs ONLY tests/core-utils.test.cjs (per scripts/mutation-matrix.cjs), so the unit tests for countMatchedSummaries must live there to be mutation-covered (previously in roadmap.test.cjs, the shard never ran them → mutants survived → Stryker gate failed). The E2E #1988 reproduction stays in roadmap.test.cjs. Added an absolute-path case to guard the lastIndexOf('/') >= 0 boundary.
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 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
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.