e38d246015
* test(#4439): failing-first regression coverage for pending-todo date rendering renderPendingTodoBullet currently echoes the todo's `created` frontmatter verbatim into the rendered bullet's [date] bracket, so a full ISO-8601 timestamp (the actual stored shape, per add-todo.md's create_file step) leaks through instead of the date-only format documented in docs/reference/state-md.md and docs/COMMANDS.md. This commit adds the regression coverage only; the renderer fix lands in the next commit. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * fix(#4439): render pending-todo 'created' as date-only, matching [date] renderPendingTodoBullet echoed the todo's created frontmatter verbatim into the rendered STATE.md bullet. That value is always a full ISO-8601 timestamp by design (add-todo.md's create_file step writes init.todos' timestamp field), but docs/reference/state-md.md and docs/COMMANDS.md document the bullet as `- [date] ...` — a short calendar date. Added pendingTodoDateOnly(), a pure display-only formatter: a value starting with a well-formed YYYY-MM-DD is shortened to just that; anything else ('unknown', a malformed string) passes through unchanged. The stored frontmatter and the JSON todos[].created field are untouched. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * test(#4439): cover a non-4-digit-year near-miss for the date-only formatter Standards review flagged a gap: the malformed-date coverage exercised a non-padded month/day but not a non-4-digit year, the other way the input can look almost-but-not-quite like YYYY-MM-DD. Same pass-through code path as the existing malformed-date test; no behavior change. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * docs(#4439): changeset for the pending-todo date-only bullet fix Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> * docs(#4439): backfill changeset PR number 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.