* fix(#1521): resolve own runtime + worktrees-off for all non-Claude installs Generalizes the Codex-only #1515/#1519 fix to every non-Claude runtime, and wires it into the real install path (where it was previously dead-on-arrival). Root causes: 1. The runtime-default stamping lived only in `_applyRuntimeRewrites`, but the installer emits `gsd-core/workflows/*.md` via `copyWithPathReplacement`, which never calls it — so a real `--codex`/`--cursor`/etc. install emitted `--default claude` and worktrees-on. RUNTIME mis-resolved to claude and the workflow ran executors unisolated against the main checkout. (#1515/#1519 were also dead-on-arrival in real installs; this repairs them.) 2. Only `case 'codex'` was stamped; every other non-Claude runtime kept the Claude default. Fix: - New `_stampNonClaudeRuntimeDefaults(content, runtime)` (single shared helper) stamps `--default <runtime>` + `use_worktrees=false` for every `runtime != claude`; called from both `_applyRuntimeRewrites` and, crucially, `copyWithPathReplacement` in bin/install.js (the real workflow emit path). - Generalize the fail-closed worktree guard `= codex` -> `!= claude` in execute-phase/quick/diagnose-issues (worktree isolation is Claude-Code-only). - Flip manager/autonomous inline-vs-background gating to `codex -> background, everything-else -> inline` (research: only Codex can background-nest the pipeline's subagents; all others run inline, which they support). Worktree-capability determination is research-backed (official docs for all 14 non-Claude runtimes: none honor GSD's isolation="worktree" mechanism, only Codex background-nests). New end-to-end real-install test asserts the EMITTED workflow is stamped — the regression guard that would have caught the dead-on-arrival bug. Closes #1521 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013vX5eUtWa2wsZEyeMf5i3r * chore(#1521): backfill changeset PR number (#1537) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013vX5eUtWa2wsZEyeMf5i3r --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.
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:
- 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, 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
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.