Tom Boucher a54feb4216 fix(#2440): per-counter progress ratchet — total_plans always takes derived value (#2468)
* fix(#2440): per-counter progress ratchet — total_plans always takes derived value

Two sites fixed (targeted — existing body-only write tests preserved):

Site A — read path: shouldPreserveExistingProgress (state-document.cts:167)
removed total_plans from the all-or-nothing ratchet check. It now joins
total_phases as an always-derived counter. Only completed_phases and
completed_plans keep ratchet behaviour (they are monotonic). This fixes
gsd-tools query state.json reporting stale total_plans when a curated
completed_plans triggers the ratchet.

Site B — write path: applyStatePreservation (state-transition.cts:162)
gained a deriveProgressKeys opt-in flag. When true (passed by
cmdStatePlannedPhase only), total_plans and total_phases take the
derived (post-sync) value instead of the wholesale curated restore.
When false (the default — state.update, state.patch), the existing
#3242 wholesale protection stays fully in force. This fixes the
state planned-phase verb writing a stale total_plans.

The opt-in approach preserves all 8 existing #3242/#1264/#500 body-only
write tests that assert wholesale progress preservation during non-
progress updates.

Tests:
- tests/state.test.cjs: 4 unit tests for shouldPreserveExistingProgress
  (total_plans upward/downward/equality + completed_plans ratchet active).
- tests/state-transition.test.cjs: 2 #2440 regression tests for
  deriveProgressKeys=true (total_plans takes derived; boundary at equality).
  The existing !resync wholesale-restore test stays unchanged (default
  behavior preserved).

References: #2440; #1446 (total_phases read-path fix — same principle);
#3242 Bug A (body-only preservation — protection preserved via the opt-in
gate); ADR-1769 (applyStatePreservation table-driven preservation).

* chore(#2440): backfill pr:2468 in .changeset/mellow-eagles-chatter.md
2026-07-20 19:24:21 -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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