Tom Boucher e4dfa6b9ea fix(#1012): invoke fallow with its real CLI and wire the report normalizer (#1044)
* fix(#1012): invoke fallow with its real CLI and wire the report normalizer

The /gsd-code-review structural pre-pass invoked fallow with flags no published
fallow version accepts (--json, --profile, --stdin-files), so it failed on every
run and degraded silently per REQ-FALLOW-02 — the feature never delivered on any
fallow version. Three compounding defects:

1. Invalid flags. Real fallow audit uses --format json (not --json), -q/--quiet,
   --changed-since/--base for changed-files scoping (no file-list input), and
   --max-crap for thresholds. There is no --profile or --stdin-files.
2. Exit-code handling. fallow audit exits 1 when it FINDS issues (verdict=fail),
   0 when clean. The pre-pass treated any non-zero exit as a crash and discarded
   the output — i.e. it threw away exactly the findings it exists to surface.
   Success is now decided by whether a valid fallow JSON report was produced,
   not by the exit code.
3. Schema mismatch. normalizeFallowReport parsed a fictional top-level schema
   (unusedExports/duplicates/circularDependencies) fallow never shipped, and was
   dead code (the workflow embedded raw JSON; its tests asserted the fictional
   schema, one even calling a non-existent runFallowAudit and passing vacuously).

Fixes: align the invocation to fallow's documented agent-facing pattern; map the
profile preset (minimal/standard/strict) to --max-crap (50/30/15); scope phase
runs via --changed-since with a repo-scope fallback; rewrite the normalizer to
fallow's real schema (dead_code.unused_exports/unused_files/circular_dependencies
+ duplication.clone_groups) and wire it into the workflow so the reviewer
receives normalized findings; replace the fictional-schema fixtures and tests
with real-schema ones and delete the vacuous runFallowAudit test.

Closes #1012

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

* chore(#1012): backfill changeset PR number to 1044

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-11 11:36:50 -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, Gemini 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, 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:

  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, 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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