Behruz Nassre Esfahani ac40f070ef feat(#1318): require external reviewers to verify plan claims against source (#1421)
* feat(#1318): require external reviewers to verify plan claims against source

/gsd-review built its external-reviewer prompt from plan text only and never
asked reviewers to open the repo and verify claims, so a grounded HIGH could be
outvoted by ungrounded LOWs. Add a concise, generic source-grounding block to
build_prompt's Review Instructions: treat yourself as running in the working
tree, open referenced files, cite path:line + mechanism, trace asserted
mechanisms, downgrade to an open question if you have no file access, and know
that grounded findings are weighted more heavily.

Also clarify that CodeRabbit (a diff-only reviewer that never receives the
prompt) must not be weighted as a grounded plan-level verdict in consensus
synthesis. Workflow stays under its size cap (baseline bumped deliberately).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore(#1318): add changeset for reviewer source-grounding

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore(#1318): mark changeset docs-exempt (internal reviewer-prompt wording)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(#1318): document reviewer source-grounding in COMMANDS.md; drop docs-exempt

Review: a user-visible behavioral Changed warrants a docs touch, not a
docs-exempt. Add a sentence to the /gsd-review entry in docs/COMMANDS.md
(reviewers verify against source, cite file:line, grounded findings weighted
higher) and remove the changeset docs-exempt marker so lint:docs passes via
docs-updated. Also note the literal build_prompt test anchor.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(#1318): harden build_prompt fence extraction to be fence-run-aware

Addresses maintainer review on PR #1421 (required-before-merge).

The buildPromptReviewInstructions() test helper located the closing fence with
`src.indexOf('\n```')`, which terminates at the FIRST triple-backtick line — so
a build_prompt ```markdown block whose body embeds a fenced code example would
truncate mid-content (dropping the `## Review Instructions` section) and give a
spurious failure or false pass. Since this feature feeds source/plan content
(which routinely contains code fences) to reviewers, that is a live fragility.

Rewrite the extraction to be fence-run-aware, mirroring the CommonMark close
rule in src/markdown-sectionizer.cts stripFencedCode: parse the opener's
backtick run length, then close on the first line with >= that many backticks
and only trailing whitespace — so a shorter nested fence is treated as content.
Add a fail-first regression test (a 4-backtick outer fence wrapping a nested
```bash block) asserting the trailing `## Review Instructions` still extracts.

Test-only change; no production .cts touched. Verified: test file 7/7,
empirical fail-first proof the old indexOf logic truncated, full suite
4236/4236, eslint clean. Codex review: approve.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Tom Boucher <trekkie@nomorestars.com>
2026-06-22 00:47:49 -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, Gemini CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.

npm version npm downloads Tests Discord GitHub stars License


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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