bd18a593a9
* fix(#2494): capture stderr and guard empty output on the claude and gemini reviewer legs The gemini and claude blocks in gsd-core/workflows/review.md were the only two of the ten prompt-fed reviewer legs with both `2>/dev/null` and no empty-output guard. Any failure that wrote no stdout — CLI missing, unauthenticated, rate-limited, crashed — left a zero-byte review file with the only diagnostic evidence already discarded. write_reviews substitutes each file's raw content into a `## <Reviewer> Review` section with no marker separating "empty/failed" from "ran cleanly, nothing to report", so a failed lane silently degraded the advertised N-reviewer consensus to N-1 while present_results reported success. Both /gsd:review and /gsd:plan-review-convergence share the invoke_reviewers step, so both were affected. Both legs now redirect stderr to a `.err` sidecar and write a diagnostic stub with the captured stderr appended when the review file comes back empty — the same shape the codex and cursor legs already use. Scope limit, noted in the block comment: the guard only runs if the block itself completes. A host Bash-tool timeout that kills the whole block skips it, the same hard bound the OpenCode block already documents. The existing timeout guidance (#2194) covers that case and is unchanged. Regression test extracts the two dispatch blocks verbatim from the workflow and runs them under bash against a failing CLI stub, asserting the review file is non-empty and carries a diagnosable message plus the captured stderr. It fails against pre-fix review.md (4 of 5 cases). Golden install-parity fixtures and the workflow size baseline are regenerated: one review.md hash per fixture, one size entry. Fixes #2494 * fix(#2494): stamp the changeset fragment with the filed PR number The fragment was authored with the documented `pr: 0` placeholder because the PR number does not exist until `gh pr create` returns. Now that this PR is #2592, stamp it — scripts/changeset/parse.cjs requires pr > 0, so the placeholder would fail the Changeset Required check.
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.