0xdhx fec42e9a7d test(#2665): cover the widened derivation, and mark what these tests cannot prove
Two tests for round 3's change (round 2 Blockers 1 and 2): KIMI_SHARE_DIR must
arrive via NON_REGISTRY_CONFIG_HOME_DESCRIPTORS rather than a literal, and every
GSD_LOCATION_ENV_KEYS entry must be blanked. Both assert a floor on their source
first, so a renamed export fails loudly instead of passing vacuously.
Negative-controlled against the registry-only derivation: both fail there, and
only those two.

And the Nit, which is the more useful half. This block asserts that TEST_ENV_BASE
is not narrower than the enumerations it derives from. It cannot prove those
enumerations are complete — a var no enumeration carries is invisible to every
test here, and they stay green.

That is exactly how round 2 found GSD_HOME and KIMI_SHARE_DIR while this block
was fully green: one belonged to no enumeration at all, the other sat inside a
function body where nothing could enumerate it. So the scope boundary is now
written down at the top of the block, naming where the completeness question is
actually answered — a source census re-derived each round, and
live-config-guard.cjs observing real writes at runtime — so that a green run
here is not misread as "the set is exhaustive."

Deliberately NOT added: an assertion per reviewer-named variable. That is the
hand-maintained list wearing a test's clothes, and it fails the same way.
2026-08-08 05:50:36 -05:00

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, Antigravity 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, 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.

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