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Phase 3 of epic #4636, stage 3a. ADR-4650 decision 2: the engine stops being a public shape. The only exported containment surface is now assertWithinRoot / tryWithinRoot / requireSafePath, none of which can hand a caller a usable path when the answer is unsafe. The src/security.cts diff is one keyword. The engine body is byte-identical — the dangling-symlink existence-oracle closure, the ancestor canonicalization and the separator-aware boundary test are untouched, which is the whole constraint this phase operates under. WHAT THE TRANSLATION COST, AND THE RULE THAT KEPT IT AT ZERO. Roughly thirty test call sites consumed validatePath directly, including the two BLOCKER regressions that are this refactor's safety net. Translating them all to `tryWithinRoot(...) === null` would have looked correct and silently destroyed one of them: BLOCKER-1 asserts the rejection reason contains "unresolvable symbolic link", which is what distinguishes a DANGLING symlink from an ordinary escape. tryWithinRoot returns a bare null and cannot tell those apart, so that assertion would have degenerated into "it failed somehow" — and the existence-oracle closure could regress with the test still green. So the rule applied throughout is: an assertion on the rejection REASON goes through assertWithinRoot, whose throw carries the engine's message verbatim; only assertions on the boolean go through tryWithinRoot. Under that rule no coverage is lost. BLOCKER-1 still pins "unresolvable symbolic link" and BLOCKER-2 still pins the exact canonicalized resolved value. Three success-path tests came out BETTER than they went in. They previously carried `expected safe:true, got error: ${result.error}` as an assertion message; routing them through assertWithinRoot means an engine regression now surfaces the real reason in the failure itself rather than as a hand-built string. The two describe blocks named after validatePath are renamed — a block named for a symbol the module no longer exports is a false signpost. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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.
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.