It is a platform that enables developers to build custom AI agents tailored to their codebase to automate engineering tasks with high precision. These agents are powered by a knowledge graph derived from the codebase, allowing them to deeply understand and interact with the code context. Potpie agents are designed to perform specific tasks such as debugging, integration testing, codebase Q&A, and system design, leveraging a Neo4j-based knowledge graph and CrewAI-powered RAG agents for intelligent, context-aware automation.
Agents are built using simple prompts and can be trained on specific skills to perform engineering tasks. They are provided with goals and tools, enabling them to determine the best approach to achieve desired outcomes. Potpie agents integrate seamlessly into workflows, automating repetitive tasks and delivering results with laser focus. The platform supports Python, JavaScript, TypeScript, and Java, with optimized performance for these languages.
Key features include a debugging agent that analyzes stack traces, provides debugging directions, and helps identify root causes iteratively. A codebase Q&A agent answers questions about the codebase using the knowledge graph and code analysis tools. An integration test agent generates test plans and code for specific functions, understanding the flow based on entry points. Potpie also offers web access, enabling agents to fetch real-time data from the internet for enhanced context-awareness.
Potpie is available as an open-source version for free and a hosted version starting at $20/month. It supports sharing agents within and outside teams and provides a 30-day free trial for hosted services. The platform is designed to streamline engineering workflows, offering pre-built agents for debugging, testing, system design, onboarding, and code review.
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