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AI Agents for

Debugging

Testing

System Design

Onboarding

Code review

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Your Codebase

build custom agents using simple prompts that are expert on your codebase to perform engineering tasks for you

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✌️ Alternatively you can use the open source version for free. Always!

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5+
ready to use agents
Context - Driven
Agents that demonstrate high precision
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Highly skilled
at multiple engineering usecases ✨
onboarding
system design
testing
Q & A
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Fueled by powerful knowledge graph
providing excellent
Codebase Intelligence
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Trusted Solution for Engineers
A powerful way to integrate agentic approach to software development
Product Features

Streamline tasks with optimized agentic workflows

Agentic software development delivered in a seamless manner

Context - Driven

Deeply intellectual agents trained on context specific to your codebase

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Easy chat

Agents that are easy to build and use through a simple chat interface

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Coachable

Agents that can be trained on a specific skill to perform given engineering tasks

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Custom Agents for
every engineering usecase

Codebase aware

Potpie turns your codebase into a comprehensive knowledge graph which powers every agent's thought process.

Autonomous

Agents are provided with a goal and a set of tools. They can determine when to utilise which tool to achieve the desired goal.

Effortless Integration

Agents that fit easily into your workflow. Automate tedious repetitive tasks with Potpie

Task-oriented

Purpose built agents ensure that your goals are achievd with laser focus.

Custom Agents

Debugging with knowledge graph

This agent specialized in analysing stacktraces and errors and relate it to your codebase. It will help you by providing debugging directions, add print debugging statements for you and help you come to the root cause iteratively.

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Designed to understand a stack-trace
Use as a pair programmer to get to the root cause
Custom Agents

Codebase Q & A agent

This agent specializes in answering questions about the codebase using the knowledge graph and code analysis tools. You can type  @ followed by function/file name to provide entry point to the agent if you want to ask it about something specific.

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Handles both broad and specific questions about the codebase.
Always refers to the precise code context to answer questions
Custom Agents

Integration test agent

This agent specializes in generating integration test plan and test code for code snippets from the knowledge graph based on given function names of entry points. It takes the entry point reference as input and understands the flow. Works best with Python, JavaScript, TypeScript. Type  @ followed by function name to provide entry point to the agent.

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Understands the flow of code through your codebase
Generates the test plan and test suite based on functional understanding of your system
Product Features

Hear what our customers have to say

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Revolutionizing Transactions:

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Empowering growth:

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Leverage analytics for growth:

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Streamline workflows:

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Blog Articles

Take a look at the latest articles from Otake

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Deconstructing Potpie’s Debugging agent
debugging agent
open-source
Deconstructing Potpie’s Debugging agent

Potpie's Debugging Agent is an AI tool that mirrors how developers debug code, using a knowledge graph of the codebase to understand relationships between functions, files, and classes. It features Knowledge Graph Queries, Code Retrieval, Node Neighbor Analysis, and Tag-based Retrieval to provide precise debugging assistance. The agent acts as an experienced pair programmer, analyzing stacktraces, providing debugging directions, and helping developers iteratively reach the root cause of issues.

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Leveraging Codebase Knowledge Graphs for Agentic Code Generation
AI
Agents
Code Gen
Leveraging Codebase Knowledge Graphs for Agentic Code Generation

This blog explores how knowledge graphs can help language models generate code with better context by understanding the entire codebase. It discusses challenges like duplicating functionality, violating design patterns, and missing business requirements. The approach involves mapping function relationships, providing runtime code fetches, and delivering function-level explanations via a vector database for agents to query. This system optimizes code generation by providing detailed, dynamic context to avoid redundant, inconsistent code and ensure alignment with design and business logic across complex codebases.

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Frequently Asked Questions

Frequently Asked Questions

Getting Started:
What is potpie and how can it benefit a developer?
Is potpie suitable for all types of startups, regardless of industry size?
Is potpie open source or hosted?
Getting Started:
What languages are supported by potpie?
What are some ready-to-use agents available on potpie?
Can I share an agent that I created?
Getting Started:
Does potpie store my code?
Can I use self-hosted models?
Getting Started:
How can I raise a support query?
I have a feedback, can I connect with the founders?
I want potpie to develop a custom agent for me. Is such a service provided?