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Potpie

Free · From $20/mo

Potpie is an open-source tool that builds AI agents to automate engineering tasks by deeply understanding your codebase. You can create custom agents or use pre-built ones for debugging, testing, and code generation. It works with VS Code, Slack, and APIs, making your development workflow faster and smarter.

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OverviewFeaturesUse CasesFAQIntegrationsPricing

About Potpie

Who It's For

Potpie is for developers and engineering teams. It helps automate coding tasks like writing tests, debugging, and understanding new code. It supports all programming languages, but works best for TypeScript, Python, Java, and JavaScript projects.

What You Get

You get smart AI agents that deeply understand your code. These agents can generate tests, design systems, find errors, and explain features. You can use ready-made agents or build custom ones to fit your specific workflow.

How It Works

Potpie creates a "knowledge graph" from your codebase. This helps its AI agents understand all your code deeply. You can use Potpie in your VS Code editor, with Slack, or through its API. It's open-source, letting you host and customize it yourself for full control.

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Compound Context

Give your AI a memory

Build one knowledge base all your AI tools draw from, kept current with your review.

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Features & Capabilities

⚙️ Core AI Capabilities

Custom Codebase Agents

Build precise, custom AI agents deeply trained on your specific codebase using a comprehensive knowledge graph.

Autonomous Agent Execution

Agents independently determine and utilize appropriate tools to achieve defined engineering goals without constant oversight.

Multi-LLM Support

Seamlessly integrate and utilize various large language models (OpenAI, Gemini, Claude) for optimized performance and flexibility.

Context-Driven Intelligence

Agents derive deep intelligence from your codebase, providing accurate and highly relevant support for engineering tasks.

⚡ Workflow Automation

Agentic Workflows

Automate complex engineering tasks across the entire software development lifecycle with powerful, custom agent-driven flows.

Ready-to-Use Agents

Jumpstart productivity with pre-built agents designed for common engineering tasks like debugging, testing, and Q&A.

Automated Testing & Design

Generate detailed unit and integration test plans, test code, and context-aware low-level designs that follow codebase standards.

Proactive Problem Solving

Perform root cause analysis and blast radius detection to identify errors and understand the downstream impacts of code changes.

🔌 Integrations & Platform

VS Code Extension

Build and execute AI agents directly within your Visual Studio Code editor for a seamless development experience.

API for Custom Automations

Embed and integrate custom agent-driven automations into existing systems and workflows via a flexible API.

Slack Integration

Trigger agents and receive results directly within your team's Slack workspace for efficient communication and collaboration.

Open-Source & Self-Hosted

Utilize the fully open-source version for self-hosting, allowing for complete customization and control over your AI agents.

Use Cases

Accelerating Developer Onboarding and Codebase Comprehension

New developers often face a steep learning curve understanding complex codebases, slowing their ramp-up. Potpie's AI agents, trained on the codebase's knowledge graph, provide instant, natural language answers about project setup, features, and architecture, significantly reducing onboarding time.

Software DevelopmentFor: New Developers, Engineering Managers

Automating Unit and Integration Test Generation

Manually writing comprehensive unit and integration tests is time-consuming and can lead to missed edge cases, impacting release quality. Potpie automates the generation of detailed test plans and code for both happy paths and critical edge cases, empowering engineering teams to maintain high code quality and accelerate their release schedule.

Software DevelopmentFor: Software Developers, QA Engineers

AI-Assisted Low-Level Design and Code Generation

Developers spend valuable time on repetitive low-level design and boilerplate code generation tasks, which can be inefficient and inconsistent. Potpie leverages its deep codebase understanding to generate context-aware designs and write new code or refactor existing code, ensuring adherence to standards and freeing engineers for more complex problem-solving.

Software DevelopmentFor: Software Developers, System Architects

Accelerating Root Cause Analysis and Blast Radius Detection

Identifying complex bug root causes and understanding the downstream impact of code changes is challenging, leading to extended debugging cycles and potential production issues. Potpie's AI agents analyze error messages to isolate root causes and proactively detect the downstream effects of modifications, significantly reducing debugging time and mitigating risks.

Software Development, DevOpsFor: Software Developers, DevOps Engineers

Frequently asked questions

Potpie is an open-source platform that creates AI agents specialized in your codebase, enabling automated code analysis, testing, and development tasks. It deeply understands your codebase by breaking down code into its constituting parts and building a knowledge graph out of your code's components. This allows the platform to generate inferences at every level of your codebase and comprehensively answer questions about it.

Potpie provides purpose-built agents that are experts on your codebase to perform engineering tasks. The platform offers both pre-built agents for common tasks and the ability to build custom agents using tools that interface with the knowledge graph. Key capabilities include debugging, code reviewing, code generation, onboarding, and automated testing.

Potpie offers several specialized agents including a Codebase Q&A Agent that answers questions about your codebase and explains functions, features, and architecture, a Debugging Agent that automatically analyzes stack traces and provides debugging steps specific to your codebase, a Unit Test Agent that automatically creates unit test plans and code for individual functions, an Integration Test Agent that generates integration test plans and code for flows to ensure components work together, a Code Changes Agent that analyzes code changes, identifies affected APIs and suggests improvements, an LLD (Low-Level Design) Agent that creates low-level designs for implementing new features, and a Code Generation Agent that generates code for new features and refactors existing code.

You can access Potpie through multiple interfaces: as a VSCode extension, via Slack integration, or through the API. To begin, you install the extension or bot, generate an API key for secure access, and parse your repository using the Parse API to obtain a project ID.

Potpie allows you to build AI agents for your codebase in minutes. However, the initial parsing step can take a few minutes for moderately sized projects as Potpie builds the knowledge graph.

Potpie integrates seamlessly into your development environment through multiple channels, including a VSCode Extension that brings agent capabilities directly into your editor, allowing questions and suggestions without context switching; a Slack Integration where you can add the Potpie bot to any Slack channel, tag it with questions, and receive responses directly in the thread; and API Access for programmatic custom integrations.

Yes, Potpie offers Slack integration. You can add the Potpie bot to any Slack channel, tag it with questions or prompts for your custom AI agents, and receive responses directly in the Slack thread. You can also provide live links in your prompts for the AI agent to reference through the Web Access feature.

Yes, Potpie provides a platform for you to build your own custom agents using tools that interface with the knowledge graph. You can automate highly specific, repetitive tasks in your workflow, such as creating new components with boilerplate code or scanning pull requests for missing error handling.

Potpie is flexible and handles codebases of any size or language.

Potpie uses a deep code understanding approach with a built-in knowledge graph that captures relationships between code components. This allows agents to understand complex relationships and assist with various tasks. The platform uses tools like get_code_from_node_id and ask_knowledge_graph_queries to precisely retrieve information from your codebase.

Common use cases include reverse-engineering functionality by having the Q&A agent explore relevant files, generating low-level designs for open issues, analyzing frontend codebases for responsiveness, and automating code review and testing workflows.

Tags

code generationdebuggingcode testingcodebase analysisengineering automation

Specifications

Deployment
Browser
Self-hosted
API
Browser
Cloud
Target Audience
Individual
Startup
Business
Complexity
Expert

Pricing

Open Source

Per one-time

Free
  • Open source version
  • Self-hosted models
  • Bring your own key
  • Choose your LLM

Hosted

Per monthly

$20
  • Bring your own key
  • One-click integration with codebase
  • Ready-to-use agents (understand API code, generate test plan)
  • Custom agents (write tests for generated test plan)
  • 8 GB database space
  • 2 Core shared CPU • 1 GB RAM
  • Pre-built tools
  • Agentic workflows
  • Repository size up to 10 MB
  • Private repos
  • Choose your LLM
  • Email Support

✓ Free plan • ✓ Plans from $20 / monthly

Integrations

VS Code
GitHub
Slack
CrewAI
OpenAI
Gemini

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