sim 7ddcc19823 fix(#3309): acknowledge health.md growth, fix stale doc-consistency tests
gsd-test found two independent gaps around the newly-generated
health.md tables:

- emitted-attribution.test.cjs requires an acknowledgment for
  health.md's 2271-byte growth (16-code hand-maintained table -> 34-row
  generated table, this phase's explicit acceptance criterion). Adds
  tests/emitted-drift-acks/3309-health-docs-generated.json. Removes
  2573-state-head-freshness.json's now-inert health.md entry (that
  fragment's growth already landed on origin/next, the diff base this
  branch is compared against, so it has nothing left to acknowledge —
  and the guard forbids two fragments naming the same path).

- runtime-converters.test.cjs's health.md content-consistency checks
  asserted stale text from the old hand-written table: a regex that
  false-positived on the new table's own unrelated W020 row (worktree
  scan degradation, a different diagnostic than the W025 isolation
  warning it was meant to detect), and anchors expecting the old
  table's exact last row / footnote wording. Narrowed the regex to
  require the literal use_worktrees config key, and updated the
  anchors to the new table's real shape (I001/I010 as the last rows,
  the new generated-table footnote).
2026-08-13 04:31:10 -04:00

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.

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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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