Tom Boucher f214f1320d fix(#2041): map model_overrides full claude IDs to agent-tool aliases
model_overrides values that are full Claude model IDs (claude-sonnet-5,
claude-opus-4-8, claude-haiku-4-5, claude-fable-5) were returned verbatim on
the claude runtime and handed to the Claude Agent tool, whose typed model
parameter documents only tier aliases (opus/sonnet/haiku/fable). The
model_policy path already mapped full IDs -> aliases via
CLAUDE_POLICY_ID_TO_ALIAS (#1144); model_overrides skipped that mapping, so
the two resolver paths produced different shapes for the same underlying
Claude model. The fix mirrors #1144 on the override path via a shared
mapClaudeOverrideForRuntime helper used by both resolveModelInternal and
resolveModelForTier. Bare aliases pass through verbatim; non-Claude runtimes
and non-Claude custom/vendor values keep full IDs verbatim (parity). An
unmappable Claude ID (e.g. claude-opus-4-5) warns once to stderr and falls
through to tier resolution, exactly as the model_policy path already does.
Alias mapping is also the documented best practice (prevents staleness when
new model versions ship).
2026-07-06 20:06:30 -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, 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 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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