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* feat(spec-phase): name tie-breaking/rounding mode in the edge-probe precision probe (#1102) The precision edge probe fired on numeric-range requirements but its text never named the most common rounding failure mode — tie-breaking / rounding mode (half-up vs half-to-even, ceil/floor/truncate). In an A/B experiment the weak tier (haiku) false-passed 50% of tie-class defects against the surfaced- unresolved spec; naming the rule in the probe text drove honest abstention 83%→100% (false-pass 17%→0%, haiku 50%→0%) with no category regression (precision still fires only on numeric-range). Sharpen the single TAXONOMY probe string and update every rendering together so the doc↔fixture↔machine contract (edge-probe-docs-fixtures.test.cjs) stays green: src/edge-probe.cts, the edge-probe.md taxonomy table + 2 worked examples, the 01-round-half-even and 04-money-rounding fixtures, and the resolve-edge-coverage how-to. Prose-only — no consumer keys on the probe text; SHAPE_CUES firing unchanged; fully backward compatible. * chore(changeset): Changed fragment for edge-probe precision probe text (#1108)
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.
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:
- 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, 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
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.