c72fb34e9a
* test(#4658): add failing-first coverage for native frontend evidence hasStaticFrontendEvidence recognised only JS-ecosystem evidence, so computeUiPlanGate could never block for a SwiftUI/Compose/Flutter/XAML project. Adds evidence-level fixtures for the four suggested markers (import-matched for .swift/.kt/.dart, extension-alone for .xaml), the reporter's non-UI Swift control case, marker-exactness and SKIP_DIRS and I/O-degrade negatives, gate-level block assertions through makeProject's new native frontendEvidence modes, and a pinned-seed fast-check property. All new assertions are RED until src/ui-frontend-evidence.cts grows the native branch. * fix(#4658): give the ui plan gate's evidence check a native branch hasStaticFrontendEvidence recognised only JS-ecosystem evidence (a root package.json UI-framework dep, or a .tsx/.jsx/.vue/.svelte file), so computeUiPlanGate could never block for a SwiftUI, Jetpack Compose, Flutter, or .NET MAUI project — the #3312 gate was structurally unreachable for them. Adds a native BFS over the same bounds and skip rules: .xaml is evidence by extension alone (the .tsx analogue), while .swift/.kt/.dart count only when their content carries the ecosystem's UI import marker (import SwiftUI / import UIKit, androidx.compose, package:flutter) — matched on the import, not the extension, so a non-UI Swift package stays silent exactly as the issue's 37-file control case requires. Marker reads are bounded to a 64 KiB prefix; any I/O failure degrades to false per the module contract. The #3718 vocabulary filter, the JS evidence rules, and the weaker-extension exclusion are untouched. * chore(#4658): regenerate the macos conformance tier list The native-evidence additions to tests/check-ui-plan-gate.test.cjs move the file into the macOS conformance tier per the classifier; the committed generated list is a derived artifact and must match the live tests/ tree (the same sync the fragment-single-edit-propagation install test enforces). * fix(#4658): accept both Dart quote styles and extract the shared bounded walk The isolated reviews' remaining findings: the Dart marker carried only the single-quote anchor, missing legal double-quoted imports (a spec-narrowing deviation); the two evidence walks duplicated the subtle MAX_WALK_ENTRIES cap semantics verbatim, so they are extracted into one walkProjectFiles BFS with a visit callback; tests now use the createTempDir helper, shared fixture literals that cannot drift from NATIVE_UI_CONTENT_MARKERS, a double-quoted Flutter import case, and drop a vacuous assertion and a mid-body re-require alias. * docs(#4658): backfill changeset PR number --------- 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.