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* test(#1962): add failing-first repro-hardening contract tests Epic #1957 Phase 3A. Source-text-is-the-product contract tests: PBT shrinking (fast-check/Hypothesis, minimized seed, manual-minimization degradation), the four oracle types (specified/derived/metamorphic/implicit with implicit flagged weakest), boundary neighbors (off-by-one/min-max/empty-singleton tied to the equivalence class), oracle_type in DEBUG Resolution, and the Phase 1A tie-in (minimized seed + real oracle => the mutation guardrail bites). Failing-first: reference, agent cross-refs, and template field do not yet exist. * feat(#1962): harden regression tests (PBT shrinking + oracle classification + boundaries) Epic #1957 Phase 3A. Extends Minimal Reproduction (shrinking) and Test-First Debugging (oracle classification + boundary neighbors): - Shrinking: wrap an input-space failing input in a property (fast-check JS/TS, Hypothesis Python) and store the MINIMIZED counterexample as the regression seed; degrade to manual minimization when no PBT framework is present. - Oracle classification: state specified / derived (contract/model) / metamorphic / implicit (crash, weakest) before writing the assertion; record under Resolution.oracle_type; never default to implicit silently. - Boundary neighbors: off-by-one, min/max, empty/singleton around the fixed defect's equivalence class. Together they turn the regression test into a root-cause check — what the Phase 1A mutation guardrail needs to bite. Full rules extracted to gsd-core/references/ debugger-repro-hardening.md. INVENTORY + manifest + agent-size baseline + install-parity goldens + AGENTS.md + DEBUG template updated. * fix(#1962): address orthogonal review (bounding, provenance, oracle scope, sufficient-triple) - HIGH: added a 'Bound the property/shrink run' section (60s timeout, degrade- to-manual on timeout, do-not-raise-default-run-limits, argv-not-shell) — the gauntlet violation the sibling references already honored. - Medium: test-provenance caveat (the failing input often comes from the bug report — author the generator from a sanitized description, cross-ref debugger-fix-acceptance.md). - Medium: oracle scope note — the 4 types cover deterministic bugs; non- deterministic failures re-route to stability-stress per bug-taxonomy. - Medium: Phase 1A tie-in corrected — seed+oracle is necessary not sufficient; boundary neighbors close the adjacent-input escape; the sufficient triple is seed+oracle+neighbors. - Low: preserve the original noisy repro as a secondary reference; operationalize 'equivalence class' (the predicate the fix draws). Nit: degradation reworded. * chore(#1962): backfill changeset pr number (PR #2409) --------- Co-authored-by: sim <sim@local>
GSD Core
Git. Ship. Done.
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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.