Tom Boucher 7e9ce08e2c test(#2736): property-test parsePhaseFromProse name precedence (#2878)
#2821 reworked parsePhaseFromProse's NAME precedence (dash-vs-paren choice,
status-keyword tails, `Milestone:` tails, paren-stripped separator search, the
lone-ALL-CAPS-tail rule) but shipped it pinned only by hand-picked examples.

The two pre-existing property blocks cover phase-token ANCHORING (#2111) and
"N of M" phase extraction; neither touches name precedence. This adds nine
properties over the canonical parser.

P1 and P9 are the delta guards: both fail against the pre-#2821 paren-first
parser (proved with a standalone mutation harness), because each requires a
genuine em-dash name to win over a co-present parenthetical. P9 additionally
exercises the paren-stripped separator search, since the losing parenthetical
itself contains an em-dash.

P2-P4 are characterization tests for precedence contracts both parser versions
satisfy; P5-P8 pin totality and phase-token extraction, which #2821 left alone.
The section comment states which is which so a future reader does not mistake
the characterization tests for delta guards.

The generator's status-word exclusion filter is a test-local mirror of the
private, unexported STATUSY_TAIL_RE. A divergence-guard test pins that mirror
to observable parser behavior (not source text, which the no-source-grep rule
forbids), so an implementation vocabulary change fails loudly instead of
silently weakening every property that depends on the filter.

Also clears six pre-existing no-unused-vars lint warnings surfaced by the lint
run for this change (dead bindings in four unrelated test files, deleted rather
than underscore-renamed); removing the never-called openCodeBlock helper
cascaded to its now-unused fs/path/reviewPath consts in both fold scopes.

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
2026-07-30 15:27:52 -04:00
2026-07-21 23:54:43 +00:00
2026-07-21 23:54:43 +00:00

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.

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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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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