Stop wasting hours manually reviewing code, writing tests, and hunting down bugs—Potpie deploys AI agents directly into your codebase to automate documentation, testing, debugging, and system design work in minutes.
Potpie is an open-source platform that lets you spin up specialized AI agents trained on your actual codebase. Instead of asking generic ChatGPT questions about your code, these agents understand your specific architecture, dependencies, and patterns. They can answer questions about how your system works, generate test cases, identify bugs before they hit production, and help you plan system redesigns—all without leaving your development environment.
For small development teams and startups, this means your developers spend less time on repetitive code review tasks and more time shipping features. You reduce the cost of bugs reaching production, speed up onboarding for new team members, and improve code quality without hiring additional senior engineers at $120K–$180K per year.
Software development agencies, SaaS startups, e-commerce tech teams, managed service providers, and any US small business with 3–50 developers who need to reduce technical debt and speed up code reviews. Works especially well for teams maintaining legacy codebases or onboarding junior developers.
Open source and free to self-host. Paid cloud versions start at approximately $99/month for small teams; enterprise pricing available.
A development team of five engineers can save 5–10 hours per week on code review, testing, and debugging tasks—equivalent to $1,000–$2,000 in monthly labor. By catching bugs earlier in the development cycle, you avoid costly production incidents that average $5,000–$50,000 in downtime and reputation damage. Faster onboarding of new hires reduces ramp-up time from 4–6 weeks to 2–3 weeks, saving $8,000–$15,000 per hire. For teams shipping monthly, the cumulative impact is 15–20% faster feature delivery.