Agent Description

Potpie AI enables developers to build custom AI agents that specialize in their codebase, automating engineering tasks through simple prompts. These agents understand project context, perform coding tasks, and assist with debugging—saving hours of manual work.

Key Features

• Codebase-Specialized Agents – Train AI on your repositories for contextual understanding
• Prompt-to-Code Automation – Generate, refactor, or debug code using natural language
• Multi-Language Support – Works with Python, JavaScript, Go, Rust, and more
• Git Integration – Syncs with GitHub/GitLab to track changes and suggest improvements
• Interactive Debugging – Identifies errors and proposes fixes in real-time
• CI/CD Pipeline Automation – Runs tests, optimizes builds, and deploys code

Use Cases

• Automated Code Reviews – Scan PRs for bugs, style issues, or security flaws
• Technical Debt Reduction – Refactor legacy code with AI-guided improvements
• Rapid Prototyping – Generate boilerplate or feature implementations instantly
• Onboarding Assistance – Helps new engineers navigate complex codebases

Differentiation Factors

• Deep Codebase Integration – Unlike generic coding AIs, specializes in your projects
• Zero-Config Agents – Starts working immediately after repository connection
• Explainable Changes – Justifies every code modification with reasoning

Pricing Plans

• Individual Free- $0/month
• Individual Pro- $39/month\
• Enterprise- Custom

Frequently Asked Questions

Q: How does Potpie differ from GitHub Copilot?
A: Goes beyond completions to execute entire engineering tasks within your code’s context.

Q: Is my source code secure?
A: Yes—uses read-only access with zero data retention (SOC 2 compliant).

Q: Can it work with monorepos?
A: Handles repositories of any size with selective directory focus.

Q: What if the AI makes incorrect changes?
A: All modifications require human approval before Git commits.