Tom Boucher a0fafedfa0 feat(#2103): drive VS Code through the Embeddable Orchestration System (ADR-1239)
VS Code is a net-new EoS runtime that — unlike every prior migration — is NOT
CLI-installed (Marketplace/VSIX extension). It has zero runtime==='vscode'
branches in bin/install.js and stays that way (regression-guarded); it is driven
entirely through the negotiated imperative Host-Integration adapter.

Registry + validator (the hard part):
- capabilities/vscode/capability.json (role:runtime): full hostIntegration block
  (imperative / palette / active vscode.lm model / engine hook bus /
  sandboxed-storage / mcp transport / sandboxed-web runtime; dispatch nested,
  maxDepth 5 per VS Code's documented subagent depth).
- capability-validator.cjs extended so a role:runtime capability can legitimately
  declare "extension-distributed, no config directory": new configHome.kind:'none'
  + installSurface:'none' (+ GATE-A pairing + the parity maps), with localConfigDir
  and configHome.name made conditional on kind!=='none'. All 18 runtimes still
  validate; getDirName returns a distinct sentinel (not '.claude') for a no-config
  runtime.
- The add-a-registry-runtime tax: NON_INSTALLABLE_RUNTIMES exemption in the
  runtime-flags drift guard, vscode added to global-config-home SPECIAL_CASED,
  EXPECTED_PROFILES.vscode='ide', and the config-adapter/derivation/pin-count
  guards updated. No golden-install fixture, model-catalog, or CONFIGURATION rows
  (vscode never enters allRuntimes).

Dispatch + extension surface:
- Fixed vscode/extension.js's createHub()-no-args bug (every dispatch was
  UnknownCommand, masked by a vacuous reachability test) — now reuses the shared
  dispatchGsdCommand subprocess-shim (Node/desktop); the reachability test is
  tightened to assert real dispatch.
- Promoted the #1933 host binding to a shipped vscode/host-binding.js; activate()
  now composes the model/hookBus/stateIO seams through it. Corrected the model
  seam to VS Code's real API (vscode.lm.selectChatModels() -> model.sendRequest();
  vscode.lm.sendRequest does not exist) so the binding actually composes on real
  desktop VS Code instead of throwing.
- New vscode/browser.js Web Extension entry with ZERO Node APIs (the engine's
  config/capability loading is Node-bound, so the web entry registers the surface
  and directs full dispatch to the native MCP server — honestly documented).
- UPGRADE 1: GSD skills as native Language Model Tools (contributes.languageModelTools
  + vscode.lm.registerTool), invoke() dispatching through the hub.
- UPGRADE 2: native subagent dispatch wired onto #runSubagent /
  chat.subagents.allowInvocationsFromSubagents (fail-soft on API availability,
  maxDepth 5 enforced).
- vscode/package.json: browser entry, engines.vscode ^1.105, chatParticipants +
  languageModelTools contributions; fixed a stale activationPoints->activationEvents
  manifest key. Added "vscode" to the package files array.

Docs (## vscode matrix section) + changeset (Added).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-11 23:24:42 -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

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%