Tom Boucher b6e6a22fce fix(#2402): honor response_language across orchestrator output + UAT checkpoint renderer (#2457)
* fix(#2402): honor response_language across orchestrator output + UAT checkpoint renderer

Replays the in-flight bot branch fix/2402-response-language-orchestrator-coverage
(seven commits, never pushed) onto current origin/next as a single squashed commit.
The original work was substantial and correct; this commit preserves its full scope,
trimmed where rebase conflicts + workflow size budgets required it.

Three independent layers where response_language was being dropped are closed:

Layer 1 — orchestrator-facing directives across workflows. Adds the strong
"All user-facing output in this workflow MUST be presented in {response_language};
technical terms, code, paths, and subagent prompts stay in English" directive
to ~40 workflows that previously either lacked it entirely (verify-work,
new-project, new-milestone, quick, manager, and ~35 more) or carried only
the weak subagent-prompt-only form (plan-phase, execute-phase). The directive
covers narration between tool calls and banner output, not just the
AskUserQuestion prompts.

Layer 2 — UAT checkpoint renderer (src/uat.cts). buildCheckpoint now accepts
an optional responseLanguage parameter and renders the frame strings
("CHECKPOINT: Verification Required", "Type `pass` or describe what's wrong.")
in any of 9 languages (English/Spanish/French/German/Portuguese/Japanese/
Chinese/Korean/Italian) with an alias table covering ~30 input variants
(en, es, español, ja, 日本語, etc.). cmdRenderCheckpoint reads
config.response_language via loadConfig(cwd) and passes it through, so the
byte-for-byte block verify-work.md reprints verbatim is already localized
when written — preserving the anti-injection hygiene rule at verify-work.md
(the model is forbidden to translate after the fact). CJK display width is
computed by East Asian Width property ranges (W/F) so the right ║ border of
the banner stays aligned for full-width characters. English fallback is
byte-identical to the pre-fix behavior when response_language is unset or
unrecognized.

Layer 3 — literal English report templates in execute-phase. The top-of-
workflow directive covers all template sites (templates are a structural
source, not literal output). Inline render-language notes that previously
sat at each template site were removed during the squash because they
pushed execute-phase.md over its frozen pre-phase-6 byte ceiling
(93600 — ADR-857 Phase 6 capstone). The single top directive covers the
same surface with fewer bytes.

Also extends src/docs.cts and src/init.cts to propagate response_language
into the init JSON bundle of the additional workflows so the directive can
read it.

Tests added:
- tests/uat.test.cjs: buildCheckpoint with unset/unrecognized language falls
  back to English default; recognized language swaps only the two frame
  strings while structural lines stay untouched; CJK display-width regression
  (independent recomputation of East Asian Width W/F ranges).
- tests/workspace.test.cjs, tests/docs-update.test.cjs: response_language
  wiring through docs.cts/init.cts.

References: #2402; reporter's three-layer triage + Layer-4 follow-up; the
byte-for-byte anti-injection hygiene rule at verify-work.md (the reason
Layer 2 must be renderer-side, not model-translated).

This is a squash of the in-flight bot branch — seven commits representing
the original implementation plus its subsequent fix/CJK-padding/test/
changeset/regen cycles, none of which were ever pushed or PR'd. The squash
captures the final coherent state.

* chore(#2402): backfill pr:2457 in .changeset/2402-response-language-orchestrator-coverage.md

* chore(#2402): regen golden + size baseline after rebase against #2315 (PR #2451)

Rebase conflicts were entirely in generated artifacts (golden-install-parity
fixtures + workflow-size-baseline.json). After taking theirs during rebase,
regenerated cleanly against the merged source tree.
2026-07-20 14:22:27 -04:00

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.

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, 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.

Description
No description provided
Readme MIT 77 MiB
Languages
JavaScript 82.3%
TypeScript 17.4%
Shell 0.3%