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* chore(#2794): single-source the reviewer invocation contract Phase 1 of epic #2782 (ADR-2782). Introduces one core descriptor table as the declared contract for all 11 cross-AI reviewer lanes, and the DEFECT.GENERATIVE-FIX parity assertion the roster has never had. The lane contract lived in three unrelated surfaces — the roster, ~640 lines of hand-authored per-CLI bash in invoke_reviewers, and the write_reviews section headings — so cross-cutting fixes landed per-leg (#2494 and #2605 were the same empty-output defect filed twice). - src/review-lane-descriptor.cts: frozen table declaring per lane the slug, flags, probe, invoke shape, timeout floor, empty-output policy, REVIEWS.md section, evidence class, required binaries, prompt-budget key and handler. Field names track ADR-2782 D1/D2/D6/D7 verbatim so Phase 2 harvests the shape with no translation layer. It declares; it does not execute — invoke_reviewers iterates in Phase 5b. - checkReviewerLaneParity: bidirectional parity across descriptor, roster, invoke_reviewers legs and write_reviews sections. Forward-only would miss the failure it exists to catch (#2718 added a leg, #2781 was the drift). ADR-1517 instance headings are exempt per D8. - Legs carry an explicit <!-- reviewer-lane: slug --> marker; five non-lane bold labels share the bold-then-fence shape a heuristic matcher would key on. - ADR-2782 D4: an explicitly-flagged reviewer that cannot run is now an error in both the core module and the workflow prose that mirrors it. A code-only change would be unobservable — the module has no production caller; the workflow narrates the policy. Discovery paths (--all, review.default_reviewers) stay lenient. - Fixes the qwen leg, the last one discarding stderr to /dev/null. Two ADR-2782 D2 vocabulary widenings were forced by surveying the shipped legs: promptChannel 'none' (CodeRabbit is fed no prompt) and outputChannel 'file-arg' (Codex writes via -o and discards stdout, #1698). Both are additive and closed; Phase 2 owns the validator. Closes #2690 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(#2794): make the parity checker total and pin the lane slug grammar Findings from the orthogonal review passes. Spec axis — the module claimed its vocabulary tracked ADR-2782 D1/D2 "verbatim" while diverging in three undisclosed ways, which is the translation layer Phase 2 was supposed to be spared: - `transport` moves from `invoke.transport` to the LANE level, a sibling of `probe`/`invoke`, exactly as D1's manifest example places it. The nested form read better as a TS discriminated union; the union is now discriminated at the lane level instead, which costs nothing. - The header and the CONTEXT.md glossary now enumerate all FOUR widenings (adding `outputArg` and `flags[]`), not two. Standards axis — CLAUDE.md requires a fast-check property test for a parser, and `checkReviewerLaneParity` parses markdown for markers and headings. Adding one found two real defects that the hand-written matrix missed: - NOT TOTAL: a malformed descriptor entry threw on `lane.flags` iteration, contradicting the module's own "never throws" claim. Every field is now narrowed from `unknown` at the trust boundary and reported as MALFORMED_LANE / INVALID_SLUG. This matters because Phase 2 feeds this function third-party overlay data, and a parity gate that crashes is indistinguishable from one never run. - SILENT GRAMMAR MISMATCH: LEG_MARKER_RE captures only [a-z0-9_-], so a slug outside that class was unmatchable — its marker could be present and correct and the scan would still report LEG_MARKER_MISSING forever. LANE_SLUG_RE now pins the grammar and a violating slug is reported INVALID_SLUG. A loud named violation beats a silent miss. Generators are document-shaped, not writer-seeded (CONTRIBUTING #2371): seeding from the module's own matchers could only produce documents those matchers already recognize. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(#2794): register the new bin/lib module in the ESLint ignore list The remote runner caught this; lint:ci did not, because the invariant lives in the test suite rather than the lint chain: tests/repo-invariants.test.cjs "each bin/lib/*.cjs is linted xor ignored according to migration state" -> tsc-generated bin/lib modules not yet added to ESLint ignore list: review-lane-descriptor.cjs Adding a src/*.cts module ripples to six surfaces (.gitignore, the ESLint ignore list, docs/INVENTORY-MANIFEST.json, the CONTEXT.md glossary, the capability/inventory manifests, and any size baseline). The other five were covered; this was the miss. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * docs(#2794): amend ADR-2782 D1/D2/D8 with the vocabulary Phase 1 surfaced Building the Phase 1 descriptor table against all eleven shipped legs is the first time every lane's contract was written in one place, and it surfaced four cases the ADR's original survey did not cover. Amending the design lock rather than diverging from it, so Phase 2 (#2795) implements the manifest validator against the amended vocabulary instead of rediscovering the gaps. All four are additive widenings of closed enums; no decision reverses: - D2 promptChannel gains `none` — coderabbit is fed no prompt at all, it reviews the working-tree diff. - D2 outputChannel gains `file-arg` — the ADR called a file-writing lane a shape a real CLI *could* take; codex already is one, writing via -o/--output-last-message and discarding stdout (#1698). - D2 gains `outputArg`, required iff file-arg — knowing the review lands in a file is useless without the argument naming it. - D1 `flag` becomes `flags[]` and D8's uniqueness flattens across lanes — antigravity is selected by both --antigravity and --agy, which a single-valued field cannot express. This is the same evidence path that produced the openai-http transport: the vocabulary widens on a lane that exists, under review, never on speculation. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * chore(#2794): backfill changeset pr number to 2820 --------- Co-authored-by: Claude Opus 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.