8deb40722a
* fix(#4478): anchor collectAnalyzePhases's phase-heading regex to line start phasePattern (src/roadmap.cts, backing `gsd-tools roadmap analyze`) had no line anchor -- #{2,4} could match a `### Phase N:`-shaped mention ANYWHERE the global regex scan reached: mid-sentence prose, inside a blockquote, inside an inline code span (backtick-quoted on the same line, not a fenced code block tokenizeHeadings would exclude). Any such line minted a phantom phase entry, inflating phase_count and able to collide on a phase NUMBER with a real heading nearby. Two correctly-anchored reference implementations already exist for the same heading grammar in this codebase: tokenizeHeadings (src/markdown-sectionizer.cts:453) and findRoadmapPhaseInContent (src/roadmap-parser.cts:1385), which anchors against the tokenizer's own output. collectAnalyzePhases was the one path scanning raw content directly instead. Anchored to line start with the same 0-3 leading-space tolerance tokenizeHeadings uses (rather than routing through the tokenizer, which the issue offers as the more thorough fix but which would require re-deriving this function's bracket/number/name capture groups and section-boundary lookup from tokenized output instead of a single combined regex scan -- a materially larger refactor than a bug fix warrants; the issue itself offers anchoring as the sufficient fallback). Added coverage to the existing tests/roadmap.test.cjs "roadmap analyze command" describe block (not a new file -- the roadmap module already had 4 test files and lint-test-file-count.cjs's own remedy is to consolidate, not add a 5th) against the issue's own 5-row prose-lookalike table, its duplicate-number consequence, and a boundary case (a legitimately-indented real heading must still count). Independent code review on this same diff found one more consequence: the "next heading" section-boundary lookup (nextHeader, a few lines below phasePattern) lacked the SAME {0,3} leading-space tolerance -- a legitimately-indented NEXT phase heading was invisible to it, letting the prior phase's own goal/mode/depends_on extraction bleed across the section boundary into the next phase's body. Confirmed via a targeted repro (**Depends on:** -- a field only the second phase has, so the bleed is directly observable) and fixed with the same tolerance, plus its own regression test. CI-adjacent findings caught by gsd-test on a stale sha, fixed inline: (1) my own explanatory comment block was inserted BETWEEN a pre-existing `phase-id-owner:` sanction comment and the regex it sanctions, pushing it out of the "line directly above" position lint-phase-id-drift.cjs requires -- reordered so the sanction stays immediately above the regex; (2) the standalone test file this fix originally added tripped lint-test-file-count.cjs's per-module cap -- consolidated into the existing describe block as described above. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * docs(#4478): backfill changeset PR number Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> --------- Co-authored-by: sim <sim@local> Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
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.