3f6be47db9
deriveProgressFromRoadmap read the `## Progress` table with two
4-column-only regexes, so every project past its v1.0 milestone — which
uses the 5-column milestone-grouped shape the same template ships
(| Phase | Milestone | Plans Complete | Status | Completed |) — parsed to
{completedPhases: null, totalPhases: null, totalPlans: null}. Because the
body is wrapped in a bare try/catch the failure was silent, and
phase.complete flipped the ROADMAP row to Complete but never advanced
STATE's progress percent / completed-phase count.
Parse the table by header instead: locate the `## Progress` section
(line-anchored h2, mirroring the writer's #2012 scoping so an earlier
Phase/Status/Completed-shaped table can't hijack it), read the header row
to find the Status, Completed, and plans columns by name, then index each
data row positionally. One code path now handles both the 4-column
greenfield and 5-column milestone-grouped shapes — the same understanding
the writer (cmdPhaseComplete, with its `cells.length === 5` branch)
already had. Preserves the 999.x backlog exclusion, M/N plan summing, and
the prior contract that a count of 0 is reported as null.
Regression tests fold into tests/state.test.cjs: the template's own
5-column Progress block parses non-null, both shapes derive identically,
999.x stays excluded in the 5-column shape, and decoy tables (an earlier
## Retrospective table and an ### Progress h3 subheading) do not hijack
the scope.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
GSD Core
Git. Ship. Done.
English · Português · 简体中文 · 日本語 · 한국어
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
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.