1e47560e34
test-conformance's macos-latest leg (Phase 2, #4591) has been running the same 546-file, Windows-oriented conformance-tier list as windows-latest -- built from signals like windows-shell-token/windows-env-var that have nothing to do with macOS. Issue #4593 asked for macOS coverage sized to its own evidence-backed surface (zsh dispatch, case-sensitivity, darwin- specific behavior) instead. Issue #4593 was filed before Phase 5 (#4603) existed and referenced updating test-full's macOS legs -- that job is gone. Corrected the issue's body before any code was touched: the "shrink from full replay" half of the original ask was already done by Phase 5; what remained was narrowing the still-Windows-oriented tier macOS was inheriting. Two design assumptions were measured and rejected before accepting a design (documented in docs/adr/4593-macos-conformance-tier-architecture.md): - Reusing the general tier's signals minus its 3 Windows-specific categories barely narrows anything (546 -> 424, 78% retained) -- most files match multiple signals and only need one to survive exclusion. - A standalone CRLF/autocrlf signal, despite the issue naming "CRLF-checkout behavior": even narrowed to /\bCRLF\b|autocrlf/i it hit 143/930 files. Root cause: CRLF is primarily a Windows checkout concern in this codebase (ADR-1703 files it under DEFECT.WINDOWS-TEST- PORTABILITY), so the signal was really re-selecting Windows-relevant files already covered by the general tier, not narrowing macOS specifically. Built 5 new, genuinely macOS-specific signals instead: darwin-literal (darwin alone, not the general tier's win32-OR-darwin), zsh-dispatch, case-sensitivity, plus chmod-mode-bit and symlink-keyword reused verbatim from the general tier (genuinely Unix-relevant, not Windows-motivated). Measured against the real tree: 196 of 930 eligible unit-suite files (21%), versus the general tier's 546 (59%) -- a real, evidence-backed narrowing. scripts/gen-platform-conformance-tier.cjs gains classifyMacosContent/ classifyMacosTree/renderMacosGeneratedFile and a --target windows (default, unchanged)/--target macos CLI flag, so the same generator produces two independent, gated outputs rather than needing a second script. New committed output: scripts/lib/macos-conformance-tier. generated.cjs. .github/workflows/test.yml's test-conformance job: only the macos-latest leg's file-list source changes; windows-latest is byte-for-byte untouched. New shipped-file ripples handled proactively (19 install-tree fixtures regenerated, bin/install.js registered). An isolated code-review pass found one real defect: the ADR's per- category count table had drifted by 1 (zsh-dispatch, case-sensitivity) because the new test file's own fixture strings joined the tree it classifies after the table was authored -- fixed, with the union total (196, what CI actually gates on) confirmed unaffected. An isolated security-review pass found no qualifying findings. The ADR also records an explicit requirement for any future widening proposal: check whether the motivating regression is already covered by Phase 1's no-rendered-text-length-assert lint rule (#4590) before re-proposing full macOS/Linux parity, since that is exactly what #4421's root cause was (a rendered-text-length assertion, not a real behavioral divergence). Co-authored-by: sim <sim@local> Co-authored-by: Claude Sonnet 5 <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, 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.