Tom Boucher d220ba6fd6 fix(#1414): resolve project root from descendant via nearest ancestor .planning/ (Resolution Provenance P1) (#1423)
Add heuristic (4) to findProjectRoot: after heuristics (1)-(3) (sub_repos,
multiRepo, .git+parent-.planning/) are exhausted without a match, perform a
second bounded walk-up within FIND_PROJECT_ROOT_MAX_DEPTH to locate the
nearest ancestor directory containing a .planning/ subdirectory. Returns that
ancestor as the project root, so loadConfig finds the correct config instead
of falling through to defaults when gsd-tools is invoked from a plain
descendant subdirectory of a single-repo project (#1366 cwd-drift gap).

Ordering is load-bearing: the new walk runs AFTER the existing loop so
sub_repos workspaces (where a child sub-repo may have its own .planning/)
still resolve correctly to the parent workspace. The existing own-.planning/
guard (heuristic 0, #1362) and the depth bound (FIND_PROJECT_ROOT_MAX_DEPTH=10)
are both preserved unchanged.

Part of #1411

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-18 00:50:30 -04:00
2026-06-17 10:31:51 -04:00

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, Gemini CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.

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What is GSD Core

GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Gemini 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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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, Gemini 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 your first project:

/gsd-new-project

New here? Follow Your first project for a guided walkthrough from install to first shipped phase.


Documentation

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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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