Tom Boucher 0be5bf865a enhance(#3783): audit-uat summary segments current-milestone vs archived debt (#4336)
* test(#3783): add failing coverage for audit-uat summary segmentation

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* fix(#3783): segment audit-uat summary into current_milestone and archived buckets

Additive: current_milestone/archived are new; total_items, total_files, parse_gap_files, by_phase, and by_category are unchanged.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* docs(#3783): add changeset fragment for audit-uat summary segmentation

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* chore(#3783): allowlist the new audit-uat-summary-segmentation test file

lint-test-file-count.cjs baselines the "audit" module (keyed off bin/lib/audit.cjs)
at 6 pre-existing files; this adds the new dedicated suite as a 7th, matching the
module's existing one-file-per-feature-slice precedent.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* test(#3783): fix phase/file number mismatch in the mixed-milestone fixture

The active phase fixture used dir "02-current" with file "01-UAT.md" — a
cross-phase stray per phase-id.cts's isPhaseArtifact/scopeToPhase (#3511),
so the file was silently excluded from the scan and current_milestone read
{files:0, items:0} instead of {files:1, items:1}. Confirmed by direct CLI
run against a hand-built fixture before recommitting. Renamed the file to
02-UAT.md to match its directory's phase number, matching every other
fixture in this suite.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* docs(#3783): backfill changeset PR number to 4336

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

---------

Co-authored-by: sim <sim@local>
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-05 19:03:14 -04:00
2026-08-30 02:40:59 +00:00
2026-08-30 02:40:59 +00:00

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.

npm version npm downloads Tests Discord GitHub stars License


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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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