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* fix(#4434): win32 unmeasured test files weigh the documented ~2.2x Windows-cost floor, not the Linux-measured mean test(#4434): failing-first — win32 unmeasured-file weight must use the documented Windows-cost multiplier, not the plain table mean fix(#4434): makeFileWeigher takes a platform and applies WINDOWS_UNMEASURED_COST_MULTIPLIER (2.2) to the unmeasured-file fallback on win32 only; measured files and other platforms are unaffected chore(#4434): changeset fragment Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * test(#4434): add fast-check property coverage for the win32 unmeasured-file weight multiplier CLAUDE.md requires a fast-check property test for budget-limit logic; the prior example-based #4434 tests didn't satisfy that. Adds two seeded, bounded property tests: the unmeasured-file fallback matches the platform rule for any measured table, and a measured file's weight is platform-invariant for any measured table. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * chore(#4434): backfill changeset PR number (4903) Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * fix(#4434): the Windows unmeasured-file multiplier must not apply when there is no timings table at all Real Windows CI on this PR caught a regression my own linux-only gsd-test verification couldn't see: makeFileWeigher applied WINDOWS_UNMEASURED_COST_MULTIPLIER even when `timings` is null (missing/ corrupt/empty table), breaking the pre-#2456 "no table degrades to uniform weight 1" invariant several existing tests depend on. The multiplier now only applies to a file absent from an otherwise-loaded table — the actual #4434 mechanism (a real, loaded, Linux-measured table with unmeasured entries) — never to the no-table-at-all path. Six pre-existing tests that called makeFileWeigher/pack helpers with no explicit platform (silently inheriting whatever OS runs them) now pin an explicit 'linux' platform, since they test the platform-agnostic mean-vs- median and Object.prototype-safety invariants, not #4434's Windows behavior. One subprocess-level test is isolated from the real committed tests/test-timings.json via RUN_TESTS_TIMINGS_FILE, matching this file's existing isolation convention for cost-profile-sensitive assertions. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> --------- Co-authored-by: sim <sim@local> Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
GSD Core
Git. Ship. Done.
English · Português · 简体中文 · 日本語 · 한국어
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.