ad7111e50b
* feat(#2161): opt-in absolute token count on the statusline context meter New statusline.show_context_tokens config (default false). When enabled, the context meter shows the absolute token total after the percentage, e.g. "████░░░░░░ 46% (156k)" — summing input, cache-creation, cache-read, and output tokens from context_window.current_usage (matching /context). Default output is byte-for-byte unchanged when the flag is absent or false. The .planning config is now read once per render and shared with the last-command/position block instead of being re-read. Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg * docs(#2161): changeset fragment for PR #2174 * fix(#2161): review fixes — k-to-M threshold, boundary tests, changeset format - formatTokens promotes to the M branch when k-rounding reaches 1000 (999,500-999,999 rendered "1000k" instead of "1.0M") - boundary tests at 999499/999500/999999/1000000/1000001 - Number() guards on the four usage fields (silent string-concat gap) - changeset body ends with the (#2161) citation per house convention Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg * fix(#2161): round-2 review fixes — config-set coverage, precision claim, exports style - config-set accept/reject tests for statusline.show_context_tokens (mirrors the post-planning-gaps precedent the issue scope names) - changeset + docs no longer claim parity with /context: the suffix sums four fields while the meter %% derives from used_percentage (three), so the figures can diverge slightly - module.exports one entry per line Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg * test: regenerate golden-install-parity fixtures for the statusline hook change Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg --------- Co-authored-by: Tom Boucher <trekkie@nomorestars.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
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.