sim 444137e63a fix(#4012): make the artifact say whether the reporter ever loaded
Down to 3 remote failures, all one chain. The explicit no-events reporting is
working — the diagnostic now states the events file does not exist, instead of
silently printing the generic message. But it then ASSERTED a cause: "the child
was killed before the reporter wrote even one event (process/spawn startup
stall, not a test hang)". That was a guess dressed as a finding, and the fixture
contradicts it: it starts a real test, so test:start should fire in milliseconds
against a 2000ms budget.

Two hypotheses remained and I could not separate them locally, because the local
test runner is hook-blocked here: either the custom reporter never LOADS in the
child, or it loads and no event reaches it before the SIGKILL.

Rather than guess a third time, the artifact now answers it. The reporter
appends a reporter:init line as its first action, before consuming anything, so
the file's contents discriminate: absent means the reporter never loaded;
init-only means it loaded and saw no test events; init plus events means it
works. The diagnostic has a branch for each and, where the cause is genuinely
unresolved, names both possibilities instead of picking one.

Also passes the reporter as a file:// URL via pathToFileURL. Node documents the
--test-reporter value as an import()-style specifier, and a bare absolute path
is not a portable one — notably on Windows. That is a correctness fix whichever
hypothesis holds, and it is a live candidate for the first. FIXED_OVERHEAD is
derived by reducing over the actual argv strings, so the longer URL is accounted
automatically.

Verified by execution, not assumption: composing the reporter against an EMPTY
event stream writes exactly one line, the init marker. That is the whole point
of the marker, so it is pinned by a test rather than left to inspection.

T1 stays red and untouched.

Verification runs on the remote runner.

Refs #4012
2026-08-28 19:41:32 -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.

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.

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