Tom Boucher f56ffa86ab fix(#3581): derive init.progress's next_phase from roadmap order, not artifact presence (#3603)
* test(#3581): pin init.progress's frontier to roadmap order over stray artifacts

Failing-first regression for #3581: a stray out-of-order phase directory
(a phase-9 UAT evidence file while roadmap phase 8 was pending and
unscaffolded) made init.progress report next_phase 09, skipping Phase 8
and disagreeing with roadmap.analyze. Rows pin the issue shape, the
aligned-tree control, and the all-complete boundary.

* fix(#3581): derive init.progress's next_phase from roadmap order, not artifact presence

The frontier is re-derived from the sorted phase union after the disk and
roadmap loops: the first not-yet-begun, not-roadmap-complete phase wins.
Artifacts still feed status and completion per entry, but a stray
out-of-order directory can no longer drag the frontier past a pending
unscaffolded roadmap phase, and init.progress agrees with roadmap.analyze.

* fix(#3581): frontier = first not-complete phase in roadmap order (resume semantics)

Review-of-own-control refinement: a begun-but-unfinished phase (in_progress,
executed, researched) is the frontier — the next thing to execute is to
resume it — so the frontier predicate is simply 'not complete and not
roadmap-complete', first in the sorted union.

* fix(#3581): preserve the pinned pending-only frontier contract; repair the boundary fixture

Review findings: the resume-semantics refinement broke the suite-pinned
contract that an in-progress phase is currentPhase's lane, not nextPhase's
(tests/init.test.cjs 'multiple phases with mixed statuses') — reverted to
first pending-or-not_started; the control row now pins the pure ordering
property (roadmap-only pending beats a later pending directory); the
boundary fixture gains passing verification reports so disk status reaches
complete under the #3168 disk-strict bar.

* chore(#3581): add changeset fragment

* chore(#3581): backfill changeset pr number

---------

Co-authored-by: sim <sim@local>
2026-08-17 18:24:49 -04:00

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.

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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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