Tom Boucher 6486647626 fix(#4949): cap unmeasured files per Windows conformance chunk (#4950)
* fix(#4949): cap unmeasured files per Windows conformance chunk

The windows conformance CI lane keeps going red every few updates:
scripts/run-tests.cjs kills a chunk at the 600s per-chunk backstop with
zero failing tests, pure slowness. Both recent incidents (ccfed63355,
af822a8024) killed a chunk holding 5-6 files absent from
tests/test-timings.json, packed alongside the chunk's measured files —
each unmeasured file's guessed weight looked affordable alone, but
several guesses compounded into a real overrun no single file's weight
predicted. tests/test-timings.json is manually regenerated and
routinely stale (30.5% of the conformance-tier pool is currently
unmeasured), so this keeps recurring as new conformance-tier files are
added.

Add a third, independent per-chunk budget to packChunks: a cap on how
many unmeasured files any one chunk may hold (win32-only, default 2,
RUN_TESTS_MAX_UNMEASURED_PER_CHUNK-overridable), using the same
"skip this bin, try the next; grow chunk count if none has room"
mechanism already proven safe for the existing char budget. This
bounds the compounding directly and protects every future batch of
newly-added, not-yet-measured conformance-tier files without depending
on anyone remembering to regenerate the timings table.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* chore(#4949): add changeset for windows conformance chunk cap fix

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* fix(#4949): address standards-review findings — changeset format, cap-1 boundary test

Reformat the changeset body to the documented **bold** — explanation.
format (was missing the em-dash separator and had a period inside the
bold clause) and add the trailing (#4949) backlink. Add the missing
cap-1 boundary test case alongside the existing cap/cap+1 rows.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

* chore(#4949): backfill changeset PR number (#4950)

* fix(#4949): don't apply the unmeasured-cap when no timings table loads at all

Caught live: PR #4950's own conformance test (windows-latest, 24,
shard 1/3) failed a pre-existing pinned test. makeMeasuredPredicate(null)
returns false for every file when the timings table is completely
missing/corrupt -- a different fact than "a loaded table exists but
doesn't cover this file". main() derived MAX_UNMEASURED_PER_CHUNK
unconditionally, so with no table at all every file counted as
"unmeasured" and the win32 cap of 2 split 7 files into 4 chunks instead
of the 3 the file-count-chunking contract (and a pinned test) require.

Gate the cap on loadedTimings() itself: no table -> Infinity (no cap,
matching the long-standing uniform-weight-1 no-table contract).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

---------

Co-authored-by: sim <sim@local>
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-23 15:26:20 -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

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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