Dave 2af7630642 fix(1259-01): make real runner cross-platform/version portable (CI ubuntu-24 + windows-24)
CI failed on node 24 + Windows in the real-runner E2E tests — real portability
bugs in the shipping runner, not test flakiness:

- node 24 names a zero-test file's TAP entry by ABSOLUTE path (node 22 used the
  basename), so the exact-string vacuity discriminator misfired -> empty file
  falsely greened. Now compares BASENAMES (separator-agnostic) -> robust across
  OS + node version. Verified: empty file is non-green under node 24 locally.
- the lint-rule runner spawned 'npx', which execFileSync can't launch on Windows
  (and failed fast on ubuntu-24). Now resolves the project's eslint CLI via
  eslint/package.json and runs 'node <cli>' through process.execPath (portable;
  no shell -> no injection). eslint absent -> fail-closed.
- node-test also spawns via process.execPath, not bare 'node'.

Also folds in round-3 WR-01: the probe-core inline comments still said
enforcement was 'deferred to a follow-up PR' — corrected (landed in #1259).
Strengthened the isNonVacuousNodeTestPass unit test to pin the basename clause
(absolute-path target). Verified 71/71 green under BOTH node 22 and node 24.
2026-06-15 14:19:35 -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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