cd5b8643ae
* fix+test(#2828): total_phases uses roadmap count on flat unmilestoned roadmap The read-path disk-scan cache fell back to phaseDirs.length (1) when milestoneBounded was false, even though roadmapPhaseCount (6) was correct for a flat roadmap (no sibling milestones to conflate). Use roadmapPhaseCount as the floor when > 0, matching the write-path (cmdStateSync) which already did this. The milestoneBounded flag still flows to milestoneUnbounded for the percent-skip (#1761 guard preserved). Regression test asserts state-sync writes progress.total_phases:6 for a flat 6-phase roadmap + 1 phase dir. * chore(#2828): changeset fragment * test(#2828): add negative-space coverage (Math.max floor mutant + no-roadmap fallback) — review findings The 6-phase test alone couldn't kill a Math.max-dropping mutant (1<6). Add: a 3-phase-dir/2-roadmap-phase case proving Math.max(dirs,count) floor; a no-roadmap case proving phaseDirs.length fallback. * fix(#2828): refine — distinguish flat unmilestoned from milestoned-unbounded (preserve #1761) The first-pass fix (roadmapPhaseCount > 0 always) re-broke #1761: a milestoned- unbounded roadmap (asserted milestone not among existing version headings) conflated sibling milestones (8 = 4+4). Refine with a hasMilestoneSectioning discriminator: ^#{2,3}(?!Phase) detects non-Phase h2/h3 milestone section headings. A FLAT roadmap (only ### Phase headings + a # title) has none → safe to use roadmapPhaseCount; a SECTIONED-but-unbounded roadmap has them → fall back to phaseDirs.length (#1761). Verified both cases locally (flat→6, sectioned-unbounded→1). * test(#2828): remove two fragile negative-space tests (phase-dir scanner internals) The Math.max-floor and no-roadmap tests made assumptions about the phase-dir scanner's internals (which dirs count as 'realized') that didn't hold. The core regression test (6-phase flat → total_phases:6) plus the existing #1761 conflation tests (which the refined fix preserves) provide sufficient coverage. * chore(#2828): backfill changeset PR number 2892 * fix(#2828): replace ReDoS-prone regex in regression test with line-by-line parse CodeQL flagged the nested-quantifier regex (`(?:[ \t]+\w+:.+\r?\n?)*?`) in tests/issue-2828-flat-roadmap-total-phases.test.cjs as a high-severity catastrophic-backtracking risk. Rewrite the STATE.md progress.total_phases extraction as a ReDoS-safe line-by-line block walk. --------- Co-authored-by: Test <test@example.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.