Batch 12 of the ad hoc timeout literal migration (epic #4445). Replaces every bare numeric timeout/timeoutMs object-literal property in tests/check-env.test.cjs, tests/config-get-default.test.cjs, tests/federated-config.test.cjs, tests/gsd-check-update-worker-platform-gate.test.cjs, tests/gsd-mcp-server-bin.test.cjs, tests/health-validation.test.cjs, tests/locking-bugs-1909-1916-1925-1927.test.cjs, tests/perf-316-state-lock-buffer-alloc.test.cjs, tests/perf-317-context-monitor-fs.test.cjs, and tests/pi-config-dir-env-override.test.cjs with a named constant, per eslint-rules/no-adhoc-timeout-literal.cjs. Removes these 10 files from the rule's allowlist. Ground truth via eslint matched the issue's stated 26 sites across 10 files exactly. Reuses PROBE_TIMEOUT_MS, GENERATOR_SCRIPT_TIMEOUT_MS, GSD_TOOLS_CLI_MODERATE_TIMEOUT_MS, and INSTALL_TIMEOUT_MS across 4 files. No new shared constants needed -- every recurring value across files was independently verified to be a genuinely different operation class, per this migration's standing rule that numeric coincidence is never identity. Adds 11 new file-local constants, three of which are not real subprocess timeouts at all (a config-merge fixture value, and two node:test per-test timeout options bounding ReDoS/lock-retry regression backstops). Per the issue's explicit mandate, gsd-check-update-worker-platform-gate.test.cjs now imports (read-only) NPM_VIEW_TIMEOUT_MS from gsd-core/bin/check-latest-version.cjs for disclosure -- this file and that production module once independently guessed the same 15000ms value, causing the PR #4428 Windows double-SIGKILL collision. No site in this file's current bare literals actually wraps a live npm-view call needing margin arithmetic, so the import documents the historical relationship honestly rather than fabricating a computation. No src/bin file edited (only a read-only import added), no numeric value changed anywhere. Co-authored-by: sim <sim@local> Co-authored-by: Claude Sonnet 5 <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, 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.