8522576467
Closes homemaker-py-tdp. The bound it was built on (every interior leaf
needs L >= A/(1.6202*h) of daylit wall) is sound, but tdp applied it to a
FULLY BUILT plot. None of these programmes ask for a fully built plot.
Recomputed against the area each programme actually demands, harbor-house
and maple-court are not frontage-infeasible: they need 49 m2 and 22 m2 of
courtyard against 277 m2 and 424 m2 of spare plot. The "2.7x / 2.9x short"
figures are withdrawn, and with them the claim that the plateau programmes
are unsatisfiable as specified -- the plateau remains unexplained.
One corpus programme is genuinely infeasible, for a much cruder reason:
health-centre demands 240 m2 of floor on a 183 m2 plot (131%), single
storey. Every room lands at 0.60x its declared target, 100% undersized,
uniformly. Filed as homemaker-py-7b7, blocking homemaker-py-7xb.
- evolve._preflight: two closed-form checks at startup (does the demand
fit the plot; is there enough daylit wall for it). Advisory only, it
never blocks a run -- an author may be exploring an over-tight brief
deliberately. Silent on programme-house.
- diag_exposure_frontage.frontage_budget reports the full budget.
- DESIGN.md 39.11 with the corrected corpus table; 38.3 marked PARTLY
RETRACTED and cross-referenced.
Both measure plot area and frontage through geometry rather than the raw
init.dom corners, so they carry the wall_outer inset and plot rotation,
and "daylit" means what Fitness.area_outside means by it. A hand-rolled
first version skipped the inset and read ~1 m / ~14 m2 optimistic per
plot; 39.11 carries the corrected numbers.
Lint unchanged at 46 pre-existing findings; tests unchanged at 7
pre-existing failures (the uncommitted evolved-3M*.dom fixtures,
homemaker-py-bdf).
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
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| .. | ||
| hooks | ||
| .gitignore | ||
| config.yaml | ||
| issues.jsonl | ||
| metadata.json | ||
| README.md | ||
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
- Documentation: github.com/steveyegge/beads/docs
- Quick Start Guide: Run
bd quickstart - Examples: github.com/steveyegge/beads/examples
Beads: Issue tracking that moves at the speed of thought ⚡