From prompt to shipped code
See how LazyRalph turns a simple prompt into a structured, transparent development workflow.
Start with a prompt
Describe what you want in plain language — 'Add user authentication with OAuth'. LazyRalph creates a task and kicks off analysis.
AI proposes a pipeline
The analyze stage evaluates your prompt's complexity and proposes stages: research, plan, implement, review. You see it as a CI/CD pipeline. Adjust stages, reorder, add research if needed. Approve when ready.
Each stage runs transparently
Fresh AI context per stage. You see what goes in — task prompt, prior artifacts — and what comes out — research.md, plan.md. If the AI needs clarification, it asks right there, at the point of need.
Iterate on artifacts
Read the plan. Select a paragraph you disagree with. Ask about it, suggest an improvement, leave a comment. The AI updates the artifact and you see the diff.
Implementation in slices
Complex plans get broken into slices. Each slice implements, gets reviewed, and feeds learnings to the next. You stay in control between slices.
Review and ship
See the full diff of everything changed. Chat about specific files or changes. When you're satisfied, merge the worktree branch. Done.
Frequently Asked Questions
What AI tools does LazyRalph work with?
LazyRalph works with Claude Code and Codex out of the box. The adapter architecture is extensible — new AI tools can be added as adapters.
Do I need to install anything?
Run npx lazyralph for zero-install trial, or npm install -g lazyralph for permanent installation. If you're a developer using AI coding tools, you already have Node.js installed.
What is the Ralph Wiggum methodology?
The Ralph Wiggum methodology is a structured approach to AI-assisted development built around the Research-Plan-Implement (RPI) pattern. Instead of throwing a prompt at an AI and hoping for the best, it breaks development into visible, controllable stages with clear artifacts at each step.
Is LazyRalph free?
LazyRalph is currently in development. Pricing details will be announced closer to launch. Join the waitlist to be notified.