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Ralph Astronaut

Get specs from anywhere.
Run AI loops
from zero to prod.

Connect your tools, fetch requirements, and let AI agents build production-ready code automatically.

Get Started →
$ ralph-starter run "build a todo app" --commit
✓ Loop 1: Analyzing requirements...
✓ Loop 2: Creating components...
✓ Loop 3: Adding tests...
✓ Done! Cost: $0.42 | 3 commits created
Integrations
GitHubFigmaLinearNotion
Ralph Integration

Connect Your Tools

Fetch specs from where your work already lives. GitHub issues, Linear tickets, Notion pages - ralph-starter pulls them in and turns them into working code.

  • GitHub Issues & PRs
  • Linear tickets
  • Notion pages
  • Figma designs & local files
$ ralph-starter run --github "owner/repo#123"
→ Fetching GitHub issue #123...
✓ Found: "Add user authentication"
✓ Loaded 3 linked files
✓ Starting AI coding loop...
View integrations →
Ralph Coder

AI-Powered Coding Loops

Let AI agents handle the implementation. Ralph runs autonomous coding loops - analyzing, implementing, testing, and committing until complete.

  • Multiple AI agents
  • 19 workflow presets
  • Progress tracking
  • Cost monitoring & rate limiting
$ ralph-starter run "build a REST API" --loops 5
→ Loop 1/5: Analyzing requirements...
→ Loop 2/5: Creating endpoints...
→ Loop 3/5: Adding validation...
✓ Completed in 3 loops | Cost: $0.28
Learn about agents →
Ralph Engineer

Built-in Validation

Every iteration runs through your test suite, linter, and build process. Catch issues early and ensure production-ready code.

  • Auto-run tests
  • Lint checking
  • Build validation
  • Error recovery
$ ralph-starter run "fix the login bug" --test --lint
→ Running tests... 23 passed
→ Running linter... no issues
→ Building project... success
✓ All validations passed!
Configure validation →
Ralph Scientist

Git Automation

From commit to PR - ralph-starter handles the git workflow. Each successful iteration becomes a clean commit, ready for review.

  • Auto-commit changes
  • Push to remote
  • Create pull requests
  • Clean commit messages
$ ralph-starter run "add dark mode" --commit --pr
→ Committing: "feat: add dark mode toggle"
→ Pushing to origin/feature/dark-mode...
→ Creating pull request...
✓ PR #42 created successfully!
Git workflow docs →
New

Auto Mode

Process entire backlogs autonomously. Ralph fetches issues from GitHub or Linear, creates branches, implements each task, runs validation, and opens PRs — all without human intervention.

  • Batch process GitHub issues or Linear tickets
  • Automatic branch creation per task
  • Built-in validation (tests, lint, build)
  • Auto-commit and PR creation
  • Dry-run mode to preview before executing
  • Cost tracking across all tasks
Learn about auto mode →
$ ralph-starter auto --source github --label "ready"
→ Fetching issues labeled "ready"...
→ Found 4 tasks to process
#23 Add user avatar upload
#24 Fix pagination on dashboard
#25 Add email notifications...
#26 Update API docs
✓ 2/4 complete | 2 PRs created | $1.24 total
Workflow Presets

19 Built-in Presets

Pre-configured workflows for every development scenario. Skip the setup — just pick a preset and go.

Development
featuretdd-red-greenspec-drivenrefactor
🔍Debugging
debugincident-responsecode-archaeology
👁Review
reviewpr-reviewadversarial-review
📄Documentation
docsdocumentation-first
🧪Specialized
api-designmigration-safetyperformance-optimizationscientific-method
$ ralph-starter run --preset tdd-red-green "add user auth"
→ Using preset: tdd-red-green
Max iterations: 50 | Validation: on | Auto-commit: on
Strategy: Write failing test → Implement → Refactor
Test: "should register new user" — FAIL
Implementing auth module...
Test: "should register new user" — PASS
Committed: "feat: add user registration"
View all 19 presets →
Extensible

Agent Skills

Teach your AI agents new tricks. Install community skills or create your own. Skills are auto-matched to your project's tech stack.

  • Global and per-project skills
  • Auto-detect tech stack
  • Browse community skills
  • Create custom skills
Learn about skills →
nextjsfrontend

Next.js App Router patterns

testingtesting

Jest & Vitest best practices

prismabackend

Database schema & queries

tailwindstyling

Utility-first CSS patterns

dockerdevops

Container configuration

securitysecurity

OWASP security patterns

$ ralph-starter skill add vercel-labs/agent-skills
→ Installing skills from vercel-labs/agent-skills
Added 12 skills to ~/.claude/skills/
Get Started

Three steps to
autonomous coding

From installation to your first AI-generated code in under a minute.

Read the full guide →
# 1. Install
$npm install -g ralph-starter
# 2. Configure your project
$ralph-starter init
✓ Created .ralph-starter.yml
# 3. Run your first loop
$ralph-starter run "build a login page"
→ Loop 1: Analyzing requirements...→ Loop 2: Creating components...✓ Done! 2 files created, 1 commit
OpenclawOpenclaw
Claude CodeClaude Code
OpenCodeOpenCode
CursorCursor
OpenAI CodexOpenAI Codex
GitHub CopilotGitHub Copilot
Gemini CLIGemini CLI
AmpAmp
Learn More

Power ralph-starter with your preferred AI provider

Anthropic
AnthropicClaude models
OpenAI
OpenAIGPT-4 & GPT-4o
OpenRouter
OpenRouter100+ models, one API
Configure providers

Works With Your Stack

Pull specs from where your work lives. Connect your favorite tools and let Ralph build from them.

Figma

Figma

Design specs, tokens & assets

GitHub

GitHub

Issues, PRs & repository files

Linear

Linear

Project & issue tracking

Notion

Notion

Pages & databases

Ralph with integrations