homemaker-layout/.beads
Claude 03c1c5edcf
CP-SAT seeding re-measured deterministically: it loses
39.5 concluded the exact CP-SAT seeder beats greedy (harbor 102 -> 92,
maple 156 -> 154). Re-checked because fdp made the arms deterministic and
3qj made the model 7.5x slower. Three findings.

A live bug in the cap, found on the way. solve_room_labels sets a
deterministic work-unit budget (4.0) and a wall-clock backstop, commented
as "a pathological-case backstop only". At 2.0s it had become THE BINDING
CONSTRAINT: 2 of 24 harbor solves returned FEASIBLE not OPTIMAL, wall time
hit exactly 2010 ms, and the deterministic budget was never reached (max
2.483/4.0). Those labellings were suboptimal AND load-dependent -- the wall
clock is exactly the cap 39.5 added the deterministic one to escape. Cause:
38.14's t -> n adjacency makes the model much harder, and the 2s value
dated from when solves took ~124 ms. Raised to 30s; 24/24 harbor and 36/36
maple now OPTIMAL, deterministic budget still in headroom (3.569/4.0).

The verdict reverses. Deterministic, 12 seeds, scored canonically:
  harbor  greedy 1323 (722h)  0.079 s/seed    cpsat 1548 (908h)  1.623
  maple   greedy 1764 (777h)  0.063 s/seed    cpsat 2256 (1213h) 1.327
cpsat loses on both, +225 and +492 fails at ~21x the seeding time,
concentrated in hard fails.

Time and quality have different causes. Removing t -> n from harbor takes
cpsat 1.623 -> 0.193 s/seed (8.4x faster) but it is still +205 vs greedy
(was +225) -- so the adjacency explains the time blow-up and ~9% of the
quality gap; the regression is otherwise pre-existing.

Squaring with 39.5: that section records cpsat returning 194/180/171/182
over four identical 10-seed aggregates before the determinism work. Its
10-fail harbor margin sits well inside a noise band that wide, and was
measured with fdp's id()-ordered room_slots live. The seeder-level claim
was never established rather than overturned. 39.5 annotated in place.

Absolute totals are ~6x 39.5's because the objective has changed, so they
are not comparable to that table; the within-measurement comparison is
like-for-like and is what the verdict rests on.

No default changes: assign_solver was already greedy for 37.7's independent
reason. What changes is that "cpsat wins the seeder A/B" should no longer
be cited as a reason to pursue it.

The cap fix takes the suite from ~4.5 to ~10 min and the tests cannot opt
out, since constructive_topology does not thread the solver limits through.
Filed as homemaker-py-2xk.

Closes homemaker-py-vjd.

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

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-29 14:47:36 +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 CP-SAT seeding re-measured deterministically: it loses 2026-08-29 14:47:36 +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