Purple AI

How is p0 different from Claude, Cursor, or other AI coding tools?

The building blocks already exist. Claude Code, Cursor, subagents, plan mode, codebase indexing — the primitives for AI-powered development are here, and they work. But primitives aren't a workflow, and a workflow is what actually ships software. In Claude Code and Cursor, you're still the orchestrator: you prompt, review, re-prompt, and stitch things together yourself. p0 is to Claude Code what Rails was to Ruby — the language was always powerful, the framework made it productive. p0 provides the workflow layer: You and AI collaborate on a product spec, and p0 builds even the most complex thi

I already use Claude. Why should I switch to p0?

You don't switch, you level up. We actually use Claude Code under the hood. What we built is the workflow around it: automated codebase readiness that stays current, interactive spec refinement grounded in your actual code, and opinionated orchestration that decomposes specs into parallel workstreams. If you have a great Claude Code setup, p0 takes that and makes it a repeatable process for your whole team.

There's "plan mode" now in other AI tools. How is p0 different?

Plan Mode in tools like Claude Code is an excellent way to create a brief plan to keep AI on task for smaller to medium sized changes. From our experience, it works really well as long as the scope isn't beyond that. But when you try to implement the kind of product feature that would have taken you a week as a human team in a single shot, it almost never works. It will run out of context quickly because it does not split the work well, it'll be confident to be done without ever having tested anything, and it simply doesn't give you the ability to create specs with more details than the one-pa

Claude also "understands my codebase." Why is p0 different?

That really depends on how you are approaching things. p0 tries to generate code "standards" (as we call them) that are easy to search by topic, don't clutter an agent's context, and provide instructions across a multi-repo setup for a holistic understanding that can be shared across your team. Today, do you just rely on the agent reading through your code every time? This works for small changes, but runs into problems quickly: Reading entire files clogs context windows, and your code isn't necessarily written in a way that you aspire things to be done. Is your codebase documentation in AGENT

What languages, frameworks, and codebases do you support?

p0 is language- and framework-agnostic. During onboarding, it analyzes your stack and generates Standards tailored to it. We've worked with Next.js, React, Python, Node, TypeScript, Go, and more. If your team codes in it, p0 can work with it.

Can p0 test what it builds?

Yes. p0 includes specialized QA agents in the pipeline. For example, a web page QA agent can use Playwright MCP to navigate around and take screenshots. An API tester agent can probe your work on endpoints. The better your test cases, the better the outcome.

Can p0 pull designs from Figma?

Yes, via Figma MCP servers. You can also define UI directly in your product spec (layout, components, interactions) and p0 will implement it using your existing design system and component library. Mockups and other prototypes can be provided to p0 directly as well.

Does p0 help with spec writing, or just the coding?

Both. p0 has a built-in refinement flow that transforms rough ideas into detailed product specs through guided questions. And unlike chatting in Claude or ChatGPT, it has a full picture of your codebase, so it can be smarter in its feedback. You bring the vision; p0 helps you articulate flows, edge cases, and acceptance criteria, all within the context of your existing product. The better the spec, the better the code, that's why we help you make it as good as it can be.