3dff700aaa
* fix(#3102): render edge-probe coverage report so the resolution loop consumes it Step 5.5 captured the edge-probe report into $COVERAGE, shape-checked it, and reduced it to coverage.applicable — the engine's per-requirement items[] never reached the model, so the resolution loop re-derived edge categories from prose (the data-flow twin of #2733's control-flow discard). The block's own comment claimed the opposite. Render $COVERAGE RAW into context after the well-formedness guard (schema-agnostic so an ADR-550 D7a-style re-cut cannot desync a bespoke renderer), and bind the rows in the resolution loop as a deterministic FLOOR the model unions with its own classification — floor, never ceiling, since the classifier has a measured recall gap (ADR-857 §98 / ADR-550 D7b). --auto consumes the same floor. Comment corrected to match. Regression test asserts a bare render of $COVERAGE, not a count-only cross. * chore(#3102): add changeset for the Step 5.5 edge-coverage render fix * chore(#3102): re-arm spec-phase.md emitted-drift ack for the Step 5.5 render growth The render + floor-binding prose grows spec-phase.md ~1818 bytes (32238 -> 34056, under the 40960 cap). Re-arms the existing spent spec-phase.md ack rather than adding a new fragment (a second key would collide with the base-relative duplicate 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.