5719efbc6b
* fix(#2766): scan archived phases and read table-shaped Gaps/deferred entries Three silent false negatives in cmdAuditUat and its readers, all failing in the reassuring (false-negative) direction — a UAT audit whose entire job is to catch leftover work reporting zero over real work: 1. Archived phases invisible (src/uat.cts cmdAuditUat): on milestone completion milestone.cts MOVES phase dirs into .planning/milestones/<version>-phases/ (archive-by-default since #1871), leaving .planning/phases/ empty or absent. Partial archive → false all-clear; full archive → hard error indistinguishable from a broken install. Fix: enumerate archived dirs via the canonical getArchivedPhaseDirs seam (phase-locator.cts); archived dirs deliberately bypass getMilestonePhaseFilter (which scopes to the CURRENT milestone — applying it to past-milestone dirs would discard every one and reinstate the bug). 2. Table-shaped deferred-items.md yielded zero items (splitGapsEntries keyed on bullet openers only; a GFM table row starts with |). Fix: union of bullet + numbered + table-row splits. 3. Table-shaped ## Gaps yielded zero items (same bullet-only splitter). Fix: same union walker. The table walker is deliberately NOT routed through parseMarkdownTable (ADR-2143 §3 — that reads only the first table and treats ragged/headerless shapes as errors, the wrong contract for a hand-written backstop table that must surface its rows). New additive archived_milestone field labels provenance. Fix authored by issue reporter gavin-ray and verified against the published tarball; maintainer triage (trek-e) confirmed all three findings. Cherry- picked onto fresh next after prior PR #2832 closed for staleness; re-verified under gsd-test + reviews. 21 regression tests including the negative direction (bullet-only unchanged, status: resolved still suppressed, empty phases dir still succeeds). * chore(#2766): backfill changeset PR number 3082 --------- 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.