2f920c5af3
* test(#4097): failing-first regression — run input copies swept into .review-diagnostics The present_results preserve+cleanup glob `_DIAG_MD=( "$RUN_DIR"/gsd-review-*.md )` matches both lane outputs and the run's own assembled input copies (prompt, instructions, roadmap, per-plan copies, project/context/research/requirements, per-lane trimmed prompts) because both share the gsd-review- prefix. Seed the full input-copy set into the existing runWriteReviewsFlow fixture and assert (a) the diagnostics dir holds exactly the lane report + .err sidecar and no input basenames, and (b) an inputs-only run creates no diagnostics dir at all and still cleans up. Both RED against the shipped block. * fix(#4097): preserve lane output only — exclude the run's input copies from evidence The preserve+cleanup glob treated every gsd-review-*.md in RUN_DIR as lane evidence, but the workflow itself writes the run's assembled INPUTS there under the same prefix (prompt, instructions, roadmap, per-plan copies, project/ context/research/requirements, per-lane trimmed prompts). Filter _DIAG_MD by basename against that closed input set instead. Direct glob iteration + case filter — identical under bash and zsh (#4099/ #4109), nullglob-safe (#2962), and the exclusion list is closed and owned in this step: a future input basename cannot silently rejoin the evidence set. Lane reports, diagnostic stubs and non-empty .err sidecars are unchanged. Emitted-Drift-Ack-Growth: review.md — #4097 narrows the present_results evidence-preservation glob: the closed input-basename exclusion list (case filter) plus its rationale note are deliberate additions so a future input basename cannot silently rejoin the evidence set. * changeset(#4097): fixed — review diagnostics no longer sweep run input copies * changeset(#4097): backfill PR number 4329 --------- Co-authored-by: sim <sim@local>
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.
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:
- 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, 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
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.