8497833a15
The per-chunk timeout fired correctly but reported almost nothing, so every diagnosis cost a CI round-trip. run-tests.cjs logged chunk START only — no timestamp, no duration, no end line — then on a kill printed all ~55 basenames and asked the operator to work out whether output kept flowing (slow) or stopped early (hang). It could not name the in-flight file because the child is spawned with stdio inherit, deliberately, per #3597/#1051. Three additions. Per-chunk elapsed timing on every path, not just failures, so drift toward the cap is visible before it becomes a kill. Every timing number in the investigation behind this had to be reconstructed by hand from GitHub log timestamps. A second, machine-readable reporter running ALONGSIDE the human one, writing NDJSON to its own file. On a kill that file is read back and the files with a test:start and no matching completion are named, with the staleness of the last event, so "stopped 480s ago at X" reads differently from "still emitting at kill". stdio stays inherit and nothing is piped or tee'd — the maxBuffer and live-output risks that shaped the original design are untouched. Ranking of the killed chunk's files by known weight, flagging any absent from tests/test-timings.json, since an unweighted file is an unknown quantity. Two details that are correct rather than lucky. Passing --test-reporter at all replaces node's implicit default, so the human reporter is now named explicitly and reproduces node's own selection (spec on a TTY, tap otherwise) — visible output is unchanged. And the destination path's chunk index is zero-padded to a fixed width because FIXED_OVERHEAD is computed ONCE before chunking; a variable-length path would have silently mis-accounted the Windows 32,767-char argv ceiling and reintroduced #3597. The reporter flags are added to FIXED_OVERHEAD exactly as --test-force-exit is. The multi-reporter pairing and the stream.compose reporter contract were confirmed against Node's v24 documentation, not recalled — the first draft carried them as an unverified assumption and said so. Also corrects a stale comment claiming the 600s cap sits "below the 20m job cap". The lane is sharded 3x at timeout-minutes: 45; the windows shards were at 19m when chunk 1/5 was killed onb351c83e0andc3e667df3. The per-chunk cap is now the binding constraint, and the old silent-cancel model leads to the wrong conclusion. Verification runs on the remote runner. Closes #4012
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.