cf8bd3cd5e
* fix(#683): auto-degrade phase execution to sequential on worktree base mismatch Claude Code forks worktree-isolated executors off the repository default branch (origin/HEAD), not the orchestrator's HEAD. Running /gsd-execute-phase on a branch diverged from the default (unmerged milestone/feature branch) left every executor without the phase's plan files and tripped the worktree-branch-check guard with `exit 42` — 100% reproducible, all OSes. - New module src/worktree-base-ref.cts: HEAD-vs-fork-base drift detection (origin/HEAD with symbolic-ref fallback) and no-clobber worktree.baseRef management, exposed as `worktree base-check` / `worktree set-baseref`. - execute-phase.md: pre-dispatch, for Claude Code with worktrees enabled, auto-degrades the run to sequential on the main tree when a base mismatch is detected, recommending worktree.baseRef:"head". The exit-42 guard stays as a backstop. - Installer: fresh local Claude installs set worktree.baseRef:"head" in .claude/settings.local.json (no-clobber, respecting an explicit shared settings.json value); upgrades print an opt-in notice pointing at `gsd-tools worktree set-baseref`. - Docs: how-to guide, CLI/config reference, planning-config cross-ref. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(#683): auto-apply worktree.baseRef on upgrade; gate fresh+upgrade on use_worktrees Per maintainer direction: on a local Claude Code UPGRADE, set worktree.baseRef:"head" automatically (no opt-in notice) when the project's workflow.use_worktrees is enabled, instead of merely printing a remediation notice. For consistency the FRESH path is now gated the same way: both paths compute worktrees-enabled once (bounded walk-up read of .planning/config.json, default enabled unless workflow.use_worktrees === false) and apply the no-clobber baseRef only when enabled — never overwriting an explicit value in settings.local.json or a shared settings.json. gsd-tools worktree set-baseref remains for manual use. Docs + changeset updated; tests hardened (file-exists assertions, fresh+disabled case, upgrade idempotency). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(#683): measure workflow byte-budget on LF, fixing Windows-only CI failure The workflow-size-budget test failed only on Windows: git checks out the .md files as CRLF (no eol=lf in .gitattributes) and byteCount used fs.statSync().size (raw on-disk bytes), counting an extra \r per line. That inflated execute-phase.md — the XL high-water-mark file pinned near its ceiling by the tighten-only ratchet — from 88492 LF bytes to ~90245 on Windows, over the 90000 XL ceiling, while passing on the LF-checkout Mac/Linux runners. The ceilings are explicitly "calibrated against raw `wc -c`" on an LF checkout, so the measurement should be LF-based on every platform. byteCount now reads the file and counts Buffer.byteLength after stripping CR, making the budget platform-independent (a no-op on LF checkouts; verified statSync === normalized for all 88 workflow files). No ceilings changed. Added a regression test asserting CRLF and LF content of the same file count identically. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(#683): make worktree-base-ref test path mocks Windows-safe (path.join) tests/worktree-base-ref.test.cjs keyed its injected readFile/writeFile mocks (and a few expected `file` values) with forward-slash template literals like `${claudeDir}/settings.local.json`. The module composes those paths with path.join(), which emits backslashes on Windows, so the mock keys never matched the module's lookup → readFile returned null → resolveEffectiveBaseRef / cmdWorktreeBaseCheck / cmdWorktreeSetBaseRef (and the JSONC variants) failed on the Windows full-test runner only (they passed on Mac/Linux, and the install tests passed because they use the real filesystem). The module is correct; only the test fixtures hardcoded '/'. All mock keys and path assertions now use path.join(base, ...) mirroring the module, so they match on every platform (no-op on POSIX). 19 path references across 16 lines. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <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, Gemini 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, Gemini 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, Gemini 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 your first project:
/gsd-new-project
New here? Follow Your first project for a guided walkthrough from install to first shipped phase.
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.