homemaker-layout/.beads
Claude f6eeee7191
n_workers is an algorithm parameter, not noise
14 recorded "harbor seed 2 scored 71 then 73 on byte-identical re-runs --
parallel/BLAS non-determinism", and b8g carried that forward as noise
widening the error bars on every A/B run at n_workers>1. The premise does
not survive measurement. Nothing is non-deterministic:

  score a frozen .dom, 20 repeats in one process   bit-identical
  same .dom, 8 processes, varied PYTHONHASHSEED    bit-identical
  full search, harbor seeds 0-3, n_workers 1..4,
    repeated across processes                      bit-identical PER count
  the same with OMP/OPENBLAS/MKL_NUM_THREADS=1     IDENTICAL to unpinned

The last line matters most: b8g proposed "likely a one-line env pin in the
worker pool initializer". Pinning BLAS threads changes nothing bit-for-bit,
so shipping that would have looked like a fix, done nothing, and retired
the issue.

What is real is not noise: the trajectory is a deterministic function of
n_workers. harbor seed 3, budget 1500 -- w=1/2/3 all give 64 fails with
identical bits, w=4 gives 65. Each stable across processes. The mechanism
is batch_n = min(n_workers, ...) children bred from ONE population snapshot
before any is admitted, with the shared rng consumed in a different
pattern; at w=1 each child sees the population its predecessor updated. A
4-worker run is partly generational, a 1-worker run steady-state -- same
seed, different search. Divergence is occasional (seeds 0/1/2 agreed, seed
3 did not), which is how it reads as noise when sampled.

14's observation was most likely homemaker-py-xcy, the as_completed
admission-ordering bug, which WAS non-deterministic and is fixed.

Shipped instead of a no-op env pin: driver.search's docstring states the
contract; test_search_is_reproducible_at_a_fixed_worker_count parametrises
over 2/3/4 workers, asserting each is internally stable and deliberately
NOT that they agree; test_scoring_a_frozen_design_is_deterministic guards
the floor.

The run_*_ab.sh harnesses already pin WORKERS=4, so arms inside one harness
are sound. The exposure is comparing across harnesses, or against a
historical figure whose worker count was never recorded.

Closes homemaker-py-b8g.

Lint at parity (46); tests 384 passed (3 new), 0 failed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-29 12:52:33 +00:00
..
hooks bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00
.gitignore Ignore beads auto-import tracking marker 2026-08-25 23:01:40 +00:00
config.yaml Rename package: homemaker → homemaker-layout 2026-06-14 08:18:06 +01:00
issues.jsonl n_workers is an algorithm parameter, not noise 2026-08-29 12:52:33 +00:00
metadata.json bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00
README.md bd init: initialize beads issue tracking 2026-06-11 23:27:11 +01:00

Beads - AI-Native Issue Tracking

Welcome to Beads! This repository uses Beads for issue tracking - a modern, AI-native tool designed to live directly in your codebase alongside your code.

What is Beads?

Beads is issue tracking that lives in your repo, making it perfect for AI coding agents and developers who want their issues close to their code. No web UI required - everything works through the CLI and integrates seamlessly with git.

Learn more: github.com/steveyegge/beads

Quick Start

Essential Commands

# Create new issues
bd create "Add user authentication"

# View all issues
bd list

# View issue details
bd show <issue-id>

# Update issue status
bd update <issue-id> --claim
bd update <issue-id> --status done

# Sync with Dolt remote
bd dolt push

Working with Issues

Issues in Beads are:

  • Git-native: Stored in Dolt database with version control and branching
  • AI-friendly: CLI-first design works perfectly with AI coding agents
  • Branch-aware: Issues can follow your branch workflow
  • Always in sync: Auto-syncs with your commits

Why Beads?

AI-Native Design

  • Built specifically for AI-assisted development workflows
  • CLI-first interface works seamlessly with AI coding agents
  • No context switching to web UIs

🚀 Developer Focused

  • Issues live in your repo, right next to your code
  • Works offline, syncs when you push
  • Fast, lightweight, and stays out of your way

🔧 Git Integration

  • Automatic sync with git commits
  • Branch-aware issue tracking
  • Dolt-native three-way merge resolution

Get Started with Beads

Try Beads in your own projects:

# Install Beads
curl -sSL https://raw.githubusercontent.com/steveyegge/beads/main/scripts/install.sh | bash

# Initialize in your repo
bd init

# Create your first issue
bd create "Try out Beads"

Learn More


Beads: Issue tracking that moves at the speed of thought