bf4485ada2
* test(#3717): add failing-first coverage for text_en language-aware classification Adds unit tests for the not-yet-implemented text_en field on Requirement (fallback selection, empty/whitespace/non-string rejection, shapes-override precedence), a SHAPE_CUES/VALID_SHAPES parity guard (RULESET.GENERATIVE-FIX), and workflow-prose contract tests asserting spec-phase.md Step 5.5 documents populating text_en for response_language projects. All new tests are RED until src/edge-probe.cts and the workflow docs are updated. * feat(#3717): make edge-probe shape classification read an optional text_en field Requirement gains an optional text_en; classifyShape's own signature stays untouched (a locked, directly-tested export), and the text_en ?? text selection is pushed to proposeEdges' single call site instead. text_en is validated fail-closed: an empty or whitespace-only value throws rather than silently winning the ?? fallback and degrading classification to zero shapes. This makes the #2773 doc-only translation convention an explicit, validatable field instead of an invisible instruction, per the approved Form-1 scope on #3717. * docs(#3717): document the text_en field across spec-phase, reference and how-to docs Updates Step 5.5's response_language instructions, the edge-probe reference Inputs contract, the FEATURES.md fragment, and the non-English how-to guide to describe the new text_en field: text keeps the requirement's own wording in all cases, text_en (when populated) is the engine-only English rendering the classifier prefers. * docs(#3717): record the text_en locked-surface change in CONTEXT.md and ADR-550 Updates the Edge Probe Module glossary entry to describe the text_en field and its fail-closed validation, and appends an ADR-550 amendment recording why this is additive and does not re-open the #652 LLM-classifier rejection (text_en is a plain field read by the existing deterministic regex classifier, not a new model-dependent surface). * docs(#3717): add changeset fragment and regenerate FEATURES.md pr:0 placeholder — backfilled with the real PR number after the PR opens. * docs(#3717): attribute the text_en machine check to engine-level validation, not prose tests Code-review (Spec axis) finding: the workflow-prose contract tests and the ADR-550 amendment overclaimed themselves as "the machine check the #2773 doc-only stopgap lacked." That check is actually engine-level (validateRequirement/classifyShape, covered in tests/edge-probe.test.cjs) — the prose tests are the same style of assertion #2773 already used. Reworded both to attribute the claim correctly. * fix(#3717): rewrap spec-phase.md so the id-unchanged sentence stays on one line The #3717 rewrite of Step 5.5's response_language paragraph moved a line break so "requirement `id`s" ended one physical line and "are never translated" started the next. The pre-existing #2773 regression test (tests/edge-probe-spec-phase-contract.test.cjs) asserts id + "never translated" on the SAME line (no \n in between, matching git's own line-oriented prose), so the reflow silently broke it. Rewrapped so the sentence lands on one line again, verified against every #2773/#3717 regex assertion in that test file. Emitted-Drift-Ack-Growth: spec-phase.md — #3717 adds text_en documentation to Step 5.5 (response_language paragraph + REQS_JSON heredoc comment); this growth is this PR's own diff, not incidental drift. * chore(#3717): backfill changeset PR number pr:0 -> pr:4156 now that the PR exists. --------- Co-authored-by: sim <sim@local>
GSD Core
Git. Ship. Done.
English · Português · 简体中文 · 日本語 · 한국어
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.
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:
- Discuss — capture implementation decisions before anything is planned
- Plan — research, decompose, and verify the plan fits a fresh context window
- Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
- Verify — walk through what was built; diagnose and fix before declaring done
- 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
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.