Tom Boucher 481f00e38a fix(#2118): honor --dry-run in milestone complete with zero-mutation preview (#2155)
* fix(2118): honor --dry-run in milestone complete with zero-mutation preview

milestone complete treated --dry-run as a no-op: the flag was neither
parsed nor rejected, so a caller who expected a preview instead
triggered the full destructive mutation (archive phases → move audit
artifacts → rewrite STATE.md) with no way to back out.

Fix (option 2 from the issue): add dryRun to MilestoneCompleteOptions,
parse --dry-run in the dispatcher, and return a JSON preview plan
(would_archive, would_update) after the read-only stats gathering but
before any mutations. Also gated platformEnsureDir on !dryRun so the
archive directory is not created during preview.

3 regression tests: no-mutation happy path, --no-archive-phases combo,
and --force bypass combo.

* docs(changeset): backfill PR number (#2155)

* chore(#2118): regenerate pi/qwen golden fixtures after next merge

The milestone --dry-run fix changes gsd-core/bin/gsd-tools.cjs; qwen.json
(missed at authoring) and pi.json (added on next, never carried the fix)
were the only two runtime fixtures still holding the pre-fix hash. All
other runtimes already reflect the change. Regenerated via the sanctioned
gen-golden-install-parity script.

* fix(#2118): surface accomplishments in dry-run preview; fix --dry-run --raw

Orthogonal review findings on the --dry-run preview:
- The preview omitted the already-computed accomplishments (the primary
  MILESTONES.md content a real run writes); surface it as a top-level field,
  mirroring the real-run result.
- `--dry-run --raw` discarded the structured payload and printed the literal
  string "dry-run"; drop the raw-value arg so --raw emits the full preview
  JSON, matching the real-run output() call.
Adds tests: --dry-run --raw is parseable JSON, preview includes accomplishments,
and --dry-run --force is proven zero-mutation.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-13 00:02:52 -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.

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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

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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