Tom Boucher acb3cc974b fix(#4197): dedup the update-context fast path against the selected global dir (#4413)
* fix(#4197): dedup the update-context fast path against the selected global candidate

The preferredConfigDir fast path derived scope from a cwd-relative match
alone, so a global install reported LOCAL whenever the shell sat in
$HOME — and run_update then drove the installer through its --local arm
(settings.local.json + the #338 relocation) against a global install.

Extract resolveGlobalCandidate (env candidates first, then $HOME-relative,
first hasInstall hit wins) and use it in BOTH paths: the fast path now
answers LOCAL only for a cwd-relative match that is not the selected
global dir, which is the same dedup the cascade applies at its isLocal
check. A preferred dir that is also the env-directed global now answers
GLOBAL on both paths (the cascade's answer), pinned by a parity test.

The discriminator is the selected global candidate, not the $HOME
pathname: with CLAUDE_CONFIG_DIR directing the global elsewhere,
$HOME/.claude probed from cwd === $HOME is a genuine local install, and
a pathname check would re-break parity (regression-pinned).

* chore(#4197): add changeset

* chore(#4197): backfill PR number in changeset

---------

Co-authored-by: agent-4197 <agent-4197@gsd.local>
2026-09-06 14:09:32 -04:00
2026-09-06 02:09:28 +00:00
2026-09-06 02:09:28 +00:00
2026-09-06 02:09:28 +00:00
2026-09-06 02:09:28 +00:00

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, Antigravity 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, 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:

  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, 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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