Tom Boucher 664d49e513 docs(#3182): ADR-3180 — planning semantic model single owner (#3196)
* docs(#3182): ADR-3180 — planning semantic model single owner

Phase 0 design lock for epic #3180. Names one canonical owner per
semantic derivation, specifies the frozen-enum scope contract that
distinguishes a genuinely-empty computation from a truncated or
unscoped one, and locks the drift-guard contract.

Ships no production code. Phases 1-5 execute against this ADR.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012qYy4ZWif3sscQyMsup6Ma

* test(#3182): prune real issue 3182 from phantom-ref guard, fix empty-list regex

The guard's own header documents that its list rots: entries are phantom
only until the repo's shared issue/PR counter reaches them, and once the
counter passes an entry it must be deleted. Creating the Phase-0 sub-issue
advanced the counter past 3182, so the guard began rejecting a legitimate
citation of a real issue - the failure its header already records happening
twice, with PRs 2551 and 2361.

3182 was the last entry, and removing it exposed a latent bug: the regex
builder interpolated the list unconditionally, so an empty list yields
(?:#(?:)\b)|(?:issues/(?:)\b), whose empty alternation matches every issue
reference in the repo. Following the file's own maintenance instruction
would have turned a green guard into one failing on nearly every file.

buildRefRe() now returns null for an empty list and is exported, with
boundary coverage at 0/1/2 entries plus word-boundary and bare-digit
negative cases.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012qYy4ZWif3sscQyMsup6Ma

---------

Co-authored-by: sim <sim@local>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-07 20:25:12 -04:00

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.

Description
No description provided
Readme MIT 77 MiB
Languages
JavaScript 82.3%
TypeScript 17.4%
Shell 0.3%