Skip to content

Autonomous AI coding loop using bd for task management

License

Notifications You must be signed in to change notification settings

rawwerks/ralph-eats-beads

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Ralph Eats Beads

Ralph Eats Beads

"Ralph Wiggum" autonomous AI coding loop, using bd (beads) for task management with parallel tmux subagents.

Ralph ships features while you sleep, by eating all of the beads.

For those in the know, you can think of Ralph Eats Beads as "Gas Town Lite". I find it much more powerful than a "vanilla Ralph" loop, yet much faster to start and easier to wield than Gas Town.

Installation

Claude Code (Interactive)

/plugin marketplace add rawwerks/ralph-eats-beads
/plugin install ralph-eats-beads@ralph-eats-beads

Claude CLI

claude plugin marketplace add rawwerks/ralph-eats-beads
claude plugin install ralph-eats-beads@ralph-eats-beads

What It Does

The "parent" Ralph/Claude picks issues from bd ready, spawns parallel Ralph/Claude subagents in tmux windows to implement them, and closes issues on success. Each iteration:

  1. Parent agent checks bd ready for available work
  2. Spawns 3-5 subagent tmux windows (one per issue)
  3. Each subagent implements ONE issue, commits, closes it
  4. Watchdog monitors for stuck agents and nudges/kills them
  5. Loop repeats until no work remains or max iterations hit
ralph (tmux session)
├── parent (window 0) - orchestrator
├── watchdog (window 1) - health monitor  
├── issue-1 (window 2) - subagent
├── issue-2 (window 3) - subagent
└── issue-3 (window 4) - subagent

Prerequisites

  • bd (beads) - Issue tracker (beads)
  • tmux - Terminal multiplexer
  • claude - Claude CLI with --dangerously-skip-permissions

Quick Start

# 1. Create issues to work on
bd create --type epic "Feature: User Auth"
bd create "Add login form" --parent <epic-id>
bd create "Add validation" --parent <epic-id>

# 2. Start Ralph (default: 10 iterations max)
./scripts/ralph.sh

# 3. Or specify max iterations
./scripts/ralph.sh 25

# 4. Watch progress
tmux attach -t ralph-<project>

How Iterations Work

  • Max iterations = how many times the parent can spawn a batch of subagents
  • Each iteration handles multiple issues in parallel (3-5 concurrent)
  • Loop exits early if bd ready returns no work
  • Default timeout: 1 hour per iteration

On Failure

  • Subagent adds comment: bd comments add <id> "Blocked: <reason>"
  • Issue stays open for next iteration or manual fix
  • Watchdog kills stuck windows after 2 nudge attempts

Planning: Converting Requirements to Issues

In a typical "Ralph eats beads" workflow, you would have already converted your plan into bd epics, issues, dependencies, and notes before running ralph.sh. This is the recommended approach: carefully curate the plan, collaborate with Claude/Codex/etc to convert to bd and make sure that the agent does not miss any details. I often find it helpful to ask Claude to spin up an "auditor" subagent to check that every aspect of the plan was converted to bd. I also include in my CLAUDE.md: When exiting Plan Mode, all plans must be fully converted into bd epics, issues, dependencies, and notes.

However, if you haven't done that step yet, you can use the planner script to generate bd issues from a requirements file:

# From a requirements file
./scripts/planner.sh requirements.md

# From inline text
./scripts/planner.sh <<< "Add OAuth2 authentication with Google and GitHub"

# From a pipe
cat feature-spec.md | ./scripts/planner.sh

The planner runs a recursive loop that:

  1. Reads your requirements
  2. Creates an epic and stories in bd
  3. Sets up dependencies between issues
  4. Iterates until the plan fully covers the requirements

Once planning is complete, run ralph.sh to implement.

Files

File Purpose
scripts/ralph.sh Main entry point
scripts/planner.sh Generate issues from requirements
scripts/watchdog.sh Health monitor
SKILL.md Full agent instructions

License

MIT

About

Autonomous AI coding loop using bd for task management

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages