COR Brief
Code & Development

Potpie

Potpie is an open-source platform designed to build AI agents specialized in a user's codebase by constructing a knowledge graph that maps relationships among code components such as functions, types, files, and modules. This graph enables various tasks including code analysis, debugging, test planning, and suggesting code changes. The platform offers pre-built agents for answering codebase questions, iterative debugging through stacktrace analysis, generating unit and integration test plans, and analyzing code changes. Users can also create custom agents tailored to specific workflows using a dashboard, API, or prompt-based configurations. Potpie supports self-hosting to maintain enterprise security and integrates with tools like Slack for team collaboration. It works across codebases of any size or language by providing API access for parsing repositories, managing conversations, and running agents locally or in the cloud. The platform targets software engineers and engineering teams managing complex codebases, facilitating development workflows, debugging, testing, and code reviews.

Updated Dec 19, 2025unknown

Potpie builds AI agents that leverage a knowledge graph of codebase components to assist with code analysis, debugging, testing, and development workflows.

Pricing
unknown
Category
Code & Development
Company
Interactive PresentationOpen Fullscreen ↗
01
Builds a Neo4j-based knowledge graph mapping relationships between functions, files, classes, and dependencies within the codebase.
02
Includes agents for answering codebase questions, iterative debugging via stacktrace analysis, generating unit and integration test plans, and suggesting code changes.
03
Allows users to create custom agents through a dashboard, API, or prompt configurations to automate workflows using the knowledge graph.
04
Provides endpoints for parsing repositories, managing projects and agents, monitoring parsing status, and generating API keys for secure access.
05
Supports Slack integration for AI assistance in team channels and offers self-hosting options to keep code and data within the user's environment.

Codebase Question Answering

Developers need quick answers about code components and their relationships within a large codebase.

Iterative Debugging

Engineers want to debug errors by analyzing stacktraces and iteratively refining fixes.

Test Plan Generation

Teams require unit and integration test plans based on existing code structure.

Custom Workflow Automation

Organizations want to automate specific development workflows tailored to their processes.

1
Setup
Visit https://docs.potpie.ai/introduction for setup instructions including local server installation.
2
Parse Repository
Use the Parse API to analyze your codebase and obtain a project ID.
3
Generate API Key
Create an API key for secure access and monitor the parsing status.
4
Interact with Agents
Create conversations with agents using project and agent IDs, then send messages to interact.
5
Build Custom Agents
Use the dashboard or API to build and run custom agents tailored to your workflows.
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Pricing
Model: unknown

No pricing information is publicly available from verified sources.

Assessment
Strengths
  • Captures deep code understanding through a knowledge graph of component relationships.
  • Provides pre-built agents tailored to specific tasks like debugging and test planning.
  • Supports custom agents and API for flexible workflow automation across languages and codebase sizes.
  • Offers self-hosting and Slack integration for secure, team-based use.
  • Enables iterative debugging that mirrors developer processes using codebase context.
Limitations
  • Requires parsing the entire codebase first, which involves monitoring status and may take time for large repositories.
  • Depends on API keys and project IDs for agent access, adding setup steps.
  • No pricing details available, potentially limiting evaluation of costs.