22f56f4431
The `full test (windows-latest, *)` lane ran the entire unit suite (~740+ files) in one job whose wall-clock crept against the 20m cap and intermittently CANCELLED (false-negative gate, observed on PR #1207). Prior tactical fixes #869 (15→20m bump) and #1051 (handle-leak) deferred the cliff structurally. Shard the unit suite across 3 parallel runners per OS/node leg so per-job wall-clock is O(total/3) and stays under the cap as the suite grows. - scripts/run-tests.cjs: add `--shard <i>/<n>` — a deterministic, balanced round-robin partition (fileIndex % n === i-1) over the SORTED selected file list. parseShardArg strictly validates i∈1..n, n≥1, integer-only; n=1 is a pure no-op. The 28K Windows argv chunking is preserved within each shard. A legitimately-empty shard (n > file count) exits 0; a selection empty BEFORE sharding still hits the discovery hard error. Composes with --suite and is order-independent (sorted before partition). Exports selectShard/parseShardArg. - .github/workflows/test.yml: test-full becomes the 3 legs × 3 shards = 9-job cross-product (explicit include rows — a base shard dim does not cross-product with include legs, and a nested matrix.leg.os is unresolvable by the H1 shell-policy linter). Unit suite runs sharded; integration/security run once per leg (shard 1). The Required tests fan-in is unchanged: it already needs test-full and checks the matrix-aggregate result, so a failed/cancelled shard fails the gate; the branch-protection check name is preserved. - tests: partition/CLI + pure selectShard contract (completeness, disjointness, balance, determinism, boundaries, fast-check property) + parseShardArg validation, in run-tests-harness.test.cjs; a DEFECT.GENERATIVE-FIX parity guard (per-row shard values 1..N, every leg runs all shards, N == --shard /N denominator) + Required-tests name/needs pin, in ci-test-scope.test.cjs. Closes #1212 Co-authored-by: Claude Opus 4.8 (1M context) <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, 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, Gemini 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, Gemini 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 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.