Tom Boucher e58b5e1721 fix(#1364): decisions adopt markdown-sectionizer seam + fail-loud coverage gate (epic #1372 T1) (#1386)
* test(#1364,#1365): add decisions regression tests (fail-first proof)

Adds tests/decisions.test.cjs with:
- #1364 recall tests: parseDecisions from markdown-header + em-dash bullets
  (these FAIL on pre-T1 code, proving the bug is present before the fix)
- #1365 fail-loud tests: check.decision-coverage-plan must return passed:false
  for decision-shaped but 0-extracted content (FAIL pre-T1, gate silently passed)
- extractDecisions outcome enum tests (could-not-parse/none-present/parsed)
- Parser QA matrix: CRLF, unicode headings, fenced-code suppression, both bullet forms
- Boundary/threshold tests at limit-1 (0), limit (1)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix(#1364,#1365): adopt markdown-sectionizer seam in decisions.cts; add fail-loud gate

#1364 — Recall: decisions.cts now uses the seam's extractTaggedBlocks and
collectSection for the markdown-header fallback path. Em-dash bullet form
(- **D-NN — title** body) is now recognised alongside the existing colon form.

#1365 — Fail-loud: adds extractDecisions() returning a typed DecisionExtraction
{ decisions, outcome } where outcome is 'parsed' | 'none-present' | 'could-not-parse'.
The blocking gate (cmdDecisionCoveragePlan) now treats could-not-parse as
passed:false with a format-mismatch reason instead of the prior silent passed:true/skip.
gap-checker runGapAnalysis surfaces 'extracted 0 of N — possible format mismatch'
for could-not-parse instead of 'No requirements or decisions to check'.

parseDecisions remains a thin delegate over extractDecisions, so all existing
callers are unaffected.

Seam adoption: stripFencedCode (seam), extractTaggedBlocks(content,'decisions') (seam),
collectSection(content, /decisions?/i, {levelBounded,stripFences}) (seam).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix(#1364,#1365): tighten could-not-parse, parse-miss fail-loud, curly-quote discretion, gap-checker FIX D

FIX A: empty <decisions> scaffolds and all-prose sections no longer return
could-not-parse; outcome is none-present unless the block/section contains
a \bD- token or a parse-miss, preventing false blocks on legitimate phases.

FIX B: parseDecisionLines now tracks parse-misses (D-NN-shaped bullets that
fail both regexes); extractDecisions returns could-not-parse when parseMisses>0
even if some decisions parsed — silent drops no longer mask format errors.

FIX C: curly-quote normalization regex now includes actual U+2018/U+2019
characters so '### Claude's Discretion' (curly apostrophe) correctly yields
trackable:false (regression vs pre-T1 behavior).

FIX D: gap-checker runGapAnalysis surfaces the decision could-not-parse
format-mismatch signal independently of whether requirements items exist —
previously masked inside `if (items.length === 0)`.

Adds 14 behavioral regression tests (fail-first verified manually before fixes).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix(#1365): fail-loud gate on parse-miss regardless of covered decisions

Change the `could-not-parse` guard in `cmdDecisionCoveragePlan` and
`cmdDecisionCoverageVerify` from `decisions.length === 0 && outcome ===
'could-not-parse'` to fire on `outcome === 'could-not-parse'` alone.

Previously a CONTEXT.md with a valid D-01 (covered by the plan) plus a
malformed D-02 (parse-miss) would skip the guard (length === 1), proceed
to coverage, find D-01 covered, and silently return passed:true — hiding
the D-02 parse-miss entirely.

Adds a gate-level fail-first test that places D-01 into a ## Must Haves
section (DESIGNATED_HEADINGS_RE match) so coverage of D-01 would pass on
its own, proving the only path to passed:false is the parse-miss fix.
Also adds the matching verify-side advisory assertion.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* chore(#1364,#1365): add Fixed changeset (pr:0 placeholder)

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

* chore(#1364): backfill changeset PR number (1386)

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

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-17 12:35:38 -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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