7f13ee5373
* docs(#2793): add ADR-2782 — reviewer lane capability surface Design lock for epic #2782. Declares a reviewer lane as capability data rather than a core patch across three unrelated surfaces. Key decisions: - D2 transport discriminator (spawn | openai-http) — a survey of all twelve lanes found three that are HTTP endpoints with no binary, which invalidated the single-invoke-shape draft. - D4 the reviewer body is optional and absent-safe at every layer. - D5 a fourth executable-surface disclosure class covering the lane binary or host AND its egress payload classes. - D6 handler is a closed first-party enum, upholding ADR-1016; the consequence — third-party lanes are data-only — is stated plainly. - D7 probe kinds wider than existence, and every probe bounded. Amends ADR-857, ADR-894, ADR-1016, ADR-1244. Also records the D7/D8-extended-by-ADR-1244 marker on ADR-857 that ADR-1244 D8 promised but never added. Closes #2793 * docs(#2793): address orthogonal review findings on ADR-2782 Two blockers from the isolated adversarial pass: - D5 disclosed the spawn binary but not its args, reopening the #1459 bug class already fixed for MCP servers (binary python3 + args -c <program>). args are now disclosed and signature-bound. - hostConfigKey resolves from .planning/config.json, which is mutable after consent with no integrity check, so a lane consented against localhost could be silently redirected to a remote host by an ordinary PR. The resolved host is now consent-bound and re-verified on the invocation path; a mismatch blocks the lane. Majors and spec gaps: - D4 gains an explicit-selection carve-out. Absent-safe governs discovery, never a lane the user named; the current selector records that as info, which Phase 1 now corrects. - D4 gains a warning delivery channel. - D6 enumerates the handler closed-enum members; a closed enum whose membership is left to the implementing phase is not closed. - D6 records aider and plandex as concrete lanes the vocabulary cannot express, rather than claiming sufficiency it did not verify. - D2 gains evidenceClass, requiresBinaries, promptBudgetKey for per-lane divergence that was only prose, and motivates the one-member outputChannel enum. - reviewer.requires renamed requiresBinaries — it collided with the envelope requires (capability deps) at a different nesting depth. - Antigravity two-level timeout: Context cited it then dropped it; now explicitly delegated to the handler. - D9 gains a per-key ownership table, including three keys that stay central because they are policy across lanes, not lane properties. - Phase table maps every decision D1-D9 to a delivering phase; D6 handler modules and D5 invocation-time re-verification were previously unclaimed. - American English per house style.
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.