[Enterprise](/content/enterprise/index.html)

Products

[Pricing](/content/pricing/index.html) [Docs](https://docs.potpie.ai/) [Blog](/content/blog/index.html)

[5k+](https://github.com/potpie-ai/potpie)

[Sign UP](https://app.potpie.ai/)

\\
\\
Specialists](/content/potpie-specialists/index.html) \\
\\
Forge](/content/potpie-forge/index.html) \\
\\
Recipes](/content/potpie-recipe/index.html) \\
\\
Trace](/content/potpie-trace/index.html)

Deconstructing Potpie’s Debugging agent

Dhiren Mathur

Nov 15, 2025

[TL:DR](/content/blog/deconstructing-potpie%E2%80%99s-debugging-agent#header-0/index.html) [Classification](/content/blog/deconstructing-potpie%E2%80%99s-debugging-agent#header-1/index.html) [Knowledge graph tooling](/content/blog/deconstructing-potpie%E2%80%99s-debugging-agent#header-2/index.html) [Agent configuration](/content/blog/deconstructing-potpie%E2%80%99s-debugging-agent#header-3/index.html) [Your Pair Programmer](/content/blog/deconstructing-potpie%E2%80%99s-debugging-agent#header-4/index.html) [How to use the debugging agent](/content/blog/deconstructing-potpie%E2%80%99s-debugging-agent#header-5/index.html)

### TL:DR

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.

Software development is fundamentally an iterative process, and debugging is no exception. What makes our debugging agent unique is its ability to mirror how developers actually debug code. The traditional debugging process can be broken down into clear steps:

1. Understanding the stacktrace

2. Understanding the code around the stacktrace

3. Coming up with a hypothesis

4. Testing the hypothesis

5. Repeating until the bug is fixed

To automate this process effectively, Potpie builds a comprehensive knowledge graph of your codebase that tracks relationships between functions, files, classes, etc.

This graph serves as the agent's "mental model" of your codebase. For each node in the graph, we generate and embed inferences for each node that can be retrieved through similarity search based on the user's query. This allows the agent to:

- Understand code flow and project structure

- Curate relevant context for any debugging scenario

- Reason about code relationships and dependencies

- Make informed debugging decisions

Here is a breakdown of how the Debugging agent works:

### Classification

The Debugging Agent flow starts with a classification system that decides whether the query can be answered by the history and base LLM training data or whether it needs additional context. The system classifies every query + history combination into:

- **LLM\_SUFFICIENT** Handles general debugging concepts using base knowledge and history

- **AGENT\_REQUIRED** Requires diving into project-specific code context

The classification prompt embodies different personas when making this decision:

- **Error Analyst** Deciphers stack traces

- **Code Detective** Investigates specific code implementations

- **Context Evaluator** Understands when broader project knowledge is needed or if the chat history is enough

### Knowledge graph tooling

The agent possesses a well-equipped toolbox. It’s core capabilities include:

- **Knowledge Graph Queries** Perform similarity search over embeddings of docstrings in the knowledge graph. This is immensely useful to find exact code context from natural language. E.g “Which function handles authentication” is an amazing query for the docstring “The purpose of this function is to handle authentication using Firebase”

- **Code Retrieval** Fetching code implementations of relevant nodes in the knowledge graph. Most of the other tools return the node id and docstring so that the agent is able to determine which ones are the most relevant. This tool is able to fetch exact code for each node so that the agent has precise code context of relevant files and functions.

- **Node Neighbour Analysis** Understanding end to end code context by fetching every node’s neighbours. This helps it look at broader edge cases and not be myopic to only the function mentioned in the stack trace. E.g The input to the function in the trace could be null, fetching the neighbours context helps the agent see why that occurs.

- **Tag-based Retrieval** Finding relevant code sections from the knowledge graph that were tagged with a specific label like “API” or “Database”. This helps get precise context needed to solve a bug. For e.g. the query might be something like ‘Fix authentication in POST /document API’ , this tag can help the agent figure out where that API is defined in your code.

### Agent configuration

In practice, the agent utilizes these tools in order to act like an experienced pair programmer with you. The prompts for the agent include directives for:

1. **Query Processing**

- Classifies the debugging issue based on the query - Extract relevant filenames from the stack trace, understand the problem from the error message.

- Determines needed tools - Based on the above analysis, determines the best tools to gather the necessary context to debug.

- Reviews chat history for any hints or previous work - For example, it should be able to make sense of an input with just logs, if the previous message from the agent was adding a bunch of print statements to pivotal steps in the code.

- Transforms the query and history into a format that is closer to the format of the knowledge graph embeddings for similarity search.
2. **Analysis & Response Steps**

- Forms hypotheses about root causes - Uses input context and retrieved code context to arrive at a hypothesis.

- Validates assumptions using tools - Retrieves precise context that helps in validating whether the hypothesis holds any ground.

- Provides step-by-step solutions - Generates a debugging plan to validate and fix the root cause.

- Streams responses in real-time.

### Your Pair Programmer

The agent's utility isn't just limited to its technical capabilities - it's also about how it communicates. Having a good user experience is important for the user to _want_ to use the agent. Through carefully crafted prompts for the chat chain, it _maintains_ a conversation with you about your problem statement:

1. **System Prompt**

- Establishes persona as a debugging assistant

- Sets guidelines for accuracy and transparency i.e. reviews answers for hallucinations and tries not to make assumptions without data.

- Asks for additional information when it is not able to gather enough data.
2. **Human Interaction Prompt**

- Guides conversation flow - It should feel like a pair programming session with a peer

- Adapts to developer expertise - Based on your response, its answers should adapt to your level of expertise.

- Maintains context throughout debugging - Message history is extremely important context when it comes to debugging using techniques like print debugging.

### How to use the debugging agent

As we saw above, this agent specialized in analyzing 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 in a conversation.

Use it for asking questions like:

✅  I’m getting a 401 unauthorized error from @update\_document API , help me debug

✅  Why am I getting this error. Stacktrace :

Traceback (most recent call last):

File "/app/training\_unit.py", line 125, in delete\_training\_unit

raise HTTPException(

fastapi.exceptions.HTTPException: Could not delete training unit.

Error: (sqlite3.DatabaseError) Failed to delete record

✅ Help me fix the TypeError in this line `query.lower().split()` of @query\_vector\_store

" height="176.48689063250688px" id="t2zO9Quc7" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.55" stroke="rgb(180, 209, 63)" transform="translate(0.773 0.758)" width="307.0499654602649px"/></svg>)

" height="127.83155915492955px" id="F7uNl9dyd" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(8.021 100.549)" width="136.10429429577454px"/><path d="M 120.738 0 L 166.541 2.512 L 302.646 81.116 L 259.995 105.741 L 140.463 174.742 L 48.783 121.822 L 39.844 116.65 L 21.917 106.308 L 4.359 96.162 L 0 69.714 Z M 84.883 90.646 L 93.847 95.818 L 111.75 106.16 L 140.734 122.881 L 155.534 97.468 L 158.883 91.73 L 212.812 81.264 L 161.197 51.467 L 141.177 39.918 L 130.096 46.32 L 124.653 49.473 L 69.099 81.535 Z M 27.753 84.712 L 130.096 25.635 L 146.718 16.031 L 130.096 15.292 L 26.472 75.132 Z" fill="rgb(0, 53, 51)" height="174.74215475179432px" id="XL4eRTHOZ" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(3.647 4.386)" width="302.6461113816823px"/><path d="M 0 0 L 0 10.343 L 16.622 0.739 Z" fill="rgb(0, 53, 51)" height="10.34275225352113px" id="cBwRaCSIs" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(133.76 19.669)" width="16.622023943661958px"/><path d="M 0 59.84 L 1.28 69.419 L 103.623 10.343 L 103.623 0 Z" fill="rgb(0, 53, 51)" height="69.41898253521126px" id="yI1DYW3PI" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(30.132 19.669)" width="103.62314999999992px"/><path d="M 0 0 L 0 49.251 L 14.357 57.55 L 17.706 51.812 L 71.636 41.346 L 20.021 11.549 Z" fill="rgb(0, 53, 51)" height="57.54972676056339px" id="swIgz6ZQs" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(144.827 44.294)" width="71.63555704225351px"/><path d="M 0 41.617 L 15.785 50.728 L 24.748 55.9 L 42.651 66.242 L 72.078 49.251 L 72.078 0 L 60.997 6.403 L 55.555 9.555 Z" fill="rgb(0, 53, 51)" height="66.2424190140845px" id="Ou0foMTnv" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(72.761 44.294)" width="72.07816690140838px"/><path d="M 0 93.626 L 0 142.877 L 162.183 49.251 L 162.183 0 L 119.532 24.626 Z" fill="rgb(0, 53, 51)" height="142.87681267605637px" id="F6Glizjhy" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(144.11 85.495)" width="162.1830021126761px"/><path d="M 0 0 L 0 49.251 L 4.359 75.699 L 4.359 26.448 Z" fill="rgb(0, 53, 51)" height="75.69868943661974px" id="CEJbzDHVA" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.46" stroke="rgb(180, 209, 63)" transform="translate(3.661 74.105)" width="4.358684366197165px"/></svg>)

" height="275.2348071827544px" id="tOCVqXAMo" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.05" stroke="rgb(180, 209, 63)" transform="translate(2.023 1.876)" width="306.08189403973506px"/></svg>)

" height="272.22086421478906px" id="PPsuL8gM9" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="2.04" stroke="rgb(180, 209, 63)" transform="translate(2.016 1.798)" width="306.4324539473682px"/></svg>)

" height="176.48689063250686px" id="YZ_qP17EP" stroke-dasharray="" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.55" stroke="rgb(180, 209, 63)" transform="translate(0.773 0.758)" width="307.04996546026496px"/><g d="M 62.549 28.787 C 62.536 28.761 62.526 28.736 62.519 28.709 C 62.535 28.768 62.56 28.824 62.6 28.878 C 62.578 28.849 62.562 28.818 62.549 28.787 Z M 62.549 28.787 L 62.6 28.878 C 62.56 28.824 62.535 28.768 62.519 28.709 Z M 54.656 27.136 L 53.678 29.273 C 52.829 31.129 53.725 33.105 56.041 34.482 L 67.491 41.285 L 70.928 43.27 C 73.406 44.7 77.049 45.237 80.421 44.654 L 121.141 37.611 C 120.159 39.696 120.291 41.929 121.582 44.003 C 125.001 49.499 120.112 55.555 110.627 57.574 C 105.569 58.649 101.585 60.95 99.722 63.869 C 96.226 69.347 85.734 72.169 76.215 70.194 C 71.142 69.142 65.525 69.424 60.847 70.967 C 52.07 73.864 40.885 72.132 35.787 67.087 C 33.07 64.398 28.45 62.529 23.146 61.975 C 13.195 60.934 6.552 55.458 8.262 49.704 C 9.172 46.637 7.711 43.493 4.263 41.1 C -2.205 36.611 -1.202 29.951 6.515 26.18 C 10.627 24.17 13.008 21.221 13.03 18.11 C 13.07 12.271 21.254 7.547 31.367 7.524 C 36.757 7.511 41.866 6.135 45.347 3.761 C 50.795 0.044 59.728 -0.975 67.055 0.959 Z M 121.101 29.063 C 121.295 29.225 121.319 29.421 121.365 29.811 C 121.437 30.422 121.416 31.043 121.303 31.658 C 121.245 31.973 121.216 32.132 121.07 32.303 C 120.952 32.442 120.731 32.596 120.516 32.689 C 120.25 32.804 119.941 32.858 119.324 32.965 L 78.041 40.112 C 77.569 40.193 77.056 40.118 76.707 39.917 L 73.268 37.93 C 72.552 37.516 72.859 36.812 73.828 36.645 L 118.972 28.911 C 119.692 28.787 120.052 28.726 120.384 28.774 C 120.655 28.814 120.941 28.93 121.101 29.063 Z M 77.422 5.057 L 85.829 15.345 L 85.834 15.352 C 85.944 15.485 85.999 15.553 86.076 15.611 C 86.144 15.664 86.226 15.711 86.317 15.751 C 86.42 15.796 86.54 15.83 86.779 15.895 L 107.021 21.407 L 107.041 21.413 C 107.775 21.613 108.144 21.713 108.236 21.838 C 108.316 21.947 108.297 22.073 108.187 22.173 C 108.059 22.288 107.655 22.352 106.863 22.48 L 64.254 29.318 C 63.803 29.4 63.362 29.338 63.037 29.193 L 62.989 29.169 C 62.826 29.09 62.694 28.987 62.61 28.87 L 62.559 28.779 L 62.529 28.701 C 62.501 28.597 62.509 28.489 62.561 28.376 L 73.706 5.239 L 73.713 5.226 C 74.151 4.315 74.371 3.857 74.769 3.71 C 75.115 3.582 75.548 3.562 75.927 3.654 C 76.364 3.761 76.717 4.193 77.422 5.057 Z" fill="transparent" height="72.36999344346039px" id="PThBnjLXo" transform="translate(95.525 49.205)" width="122.67217843649964px"><path d="M 0.03 0.077 C 0.017 0.052 0.007 0.027 0 0 C 0.016 0.059 0.041 0.115 0.081 0.169 C 0.059 0.139 0.043 0.109 0.03 0.077 Z" fill="rgb(180, 209, 63)" height="1px" id="FZhYXbO6L" transform="translate(62.519 28.709)" width="1px"/><path d="M 62.549 28.787 L 62.6 28.878 C 62.56 28.824 62.535 28.768 62.519 28.709 Z M 54.656 27.136 L 53.678 29.273 C 52.829 31.129 53.725 33.105 56.041 34.482 L 67.491 41.285 L 70.928 43.27 C 73.406 44.7 77.049 45.237 80.421 44.654 L 121.141 37.611 C 120.159 39.696 120.291 41.929 121.582 44.003 C 125.001 49.499 120.112 55.555 110.627 57.574 C 105.569 58.649 101.585 60.95 99.722 63.869 C 96.226 69.347 85.734 72.169 76.215 70.194 C 71.142 69.142 65.525 69.424 60.847 70.967 C 52.07 73.864 40.885 72.132 35.787 67.087 C 33.07 64.398 28.45 62.529 23.146 61.975 C 13.195 60.934 6.552 55.458 8.262 49.704 C 9.172 46.637 7.711 43.493 4.263 41.1 C -2.205 36.611 -1.202 29.951 6.515 26.18 C 10.627 24.17 13.008 21.221 13.03 18.11 C 13.07 12.271 21.254 7.547 31.367 7.524 C 36.757 7.511 41.866 6.135 45.347 3.761 C 50.795 0.044 59.728 -0.975 67.055 0.959 Z M 121.101 29.063 C 121.295 29.225 121.319 29.421 121.365 29.811 C 121.437 30.422 121.416 31.043 121.303 31.658 C 121.245 31.973 121.216 32.132 121.07 32.303 C 120.952 32.442 120.731 32.596 120.516 32.689 C 120.25 32.804 119.941 32.858 119.324 32.965 L 78.041 40.112 C 77.569 40.193 77.056 40.118 76.707 39.917 L 73.268 37.93 C 72.552 37.516 72.859 36.812 73.828 36.645 L 118.972 28.911 C 119.692 28.787 120.052 28.726 120.384 28.774 C 120.655 28.814 120.941 28.93 121.101 29.063 Z M 77.422 5.057 L 85.829 15.345 L 85.834 15.352 C 85.944 15.485 85.999 15.553 86.076 15.611 C 86.144 15.664 86.226 15.711 86.317 15.751 C 86.42 15.796 86.54 15.83 86.779 15.895 L 107.021 21.407 L 107.041 21.413 C 107.775 21.613 108.144 21.713 108.236 21.838 C 108.316 21.947 108.297 22.073 108.187 22.173 C 108.059 22.288 107.655 22.352 106.863 22.48 L 64.254 29.318 C 63.803 29.4 63.362 29.338 63.037 29.193 L 62.989 29.169 C 62.826 29.09 62.694 28.987 62.61 28.87 L 62.559 28.779 L 62.529 28.701 C 62.501 28.597 62.509 28.489 62.561 28.376 L 73.706 5.239 L 73.713 5.226 C 74.151 4.315 74.371 3.857 74.769 3.71 C 75.115 3.582 75.548 3.562 75.927 3.654 C 76.364 3.761 76.717 4.193 77.422 5.057 Z" fill="rgb(180, 209, 63)" height="72.36999344346039px" id="AQyCIziS7" transform="translate(0 0)" width="122.67217843649964px"/></g></svg>)

" height="150.90560294117645px" id="jxii70vzV" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(24.37 4.791)" width="261.37546588235216px"/><path d="M 29.623 10.224 L 36.309 7.429 L 43.611 4.988 L 51.344 3.009 L 59.322 1.509 L 67.439 0.515 L 75.693 0.009 L 84.164 0 L 92.557 0.515 L 100.919 1.544 L 108.728 3.018 L 116.384 4.988 L 123.793 7.455 L 130.373 10.224 L 136.629 13.481 L 142.286 17.103 L 147.097 20.91 L 151.356 25.179 L 154.784 29.643 L 157.336 34.117 L 159.104 38.936 L 159.995 43.657 L 159.981 48.672 L 159.104 53.438 L 157.336 58.222 L 154.784 62.73 L 151.356 67.194 L 147.128 71.41 L 142.286 75.271 L 136.629 78.892 L 130.373 82.149 L 123.686 84.945 L 116.384 87.386 L 108.728 89.356 L 100.843 90.838 L 92.557 91.859 L 84.164 92.374 L 75.632 92.365 L 67.439 91.859 L 59.322 90.865 L 51.344 89.365 L 43.611 87.386 L 36.233 84.918 L 29.623 82.149 L 23.351 78.883 L 17.709 75.271 L 12.928 71.464 L 8.639 67.194 L 5.227 62.775 L 2.613 58.124 L 0.892 53.438 L 0 48.592 L 0 43.782 L 0.892 38.936 L 2.613 34.25 L 5.227 29.599 L 8.639 25.179 L 12.867 20.963 L 17.709 17.103 L 23.351 13.49 Z" fill="rgb(0, 53, 51)" height="92.37355058823529px" id="LN6Mj2wjX" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(75.05 69.207)" width="159.99511058823543px"/><path d="M 29.623 10.224 L 36.309 7.429 L 43.611 4.988 L 51.344 3.009 L 59.322 1.509 L 67.439 0.515 L 75.693 0.009 L 84.164 0 L 92.557 0.515 L 100.919 1.544 L 108.729 3.018 L 116.383 4.988 L 123.794 7.455 L 130.374 10.224 L 136.63 13.481 L 142.287 17.103 L 147.098 20.91 L 151.357 25.179 L 154.785 29.643 L 157.337 34.117 L 159.103 38.936 L 159.996 43.657 L 159.979 48.672 L 159.103 53.438 L 157.337 58.222 L 154.785 62.73 L 151.357 67.194 L 147.129 71.41 L 142.287 75.271 L 136.63 78.892 L 130.374 82.149 L 123.687 84.946 L 116.383 87.385 L 108.729 89.355 L 100.843 90.838 L 92.557 91.858 L 84.164 92.374 L 75.632 92.365 L 67.439 91.858 L 59.322 90.864 L 51.344 89.364 L 43.611 87.385 L 36.233 84.918 L 29.623 82.149 L 23.351 78.883 L 17.709 75.271 L 12.928 71.463 L 8.639 67.194 L 5.227 62.775 L 2.613 58.124 L 0.892 53.438 L 0 48.592 L 0 43.781 L 0.892 38.936 L 2.613 34.25 L 5.227 29.599 L 8.639 25.179 L 12.867 20.963 L 17.709 17.103 L 23.351 13.49 Z" fill="rgb(0, 53, 51)" height="92.37427764705882px" id="jDPtsCydt" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(75.76 83.833)" width="159.99583764705716px"/><path d="M 29.623 10.224 L 36.309 7.429 L 43.611 4.988 L 51.344 3.009 L 59.322 1.509 L 67.439 0.515 L 75.693 0.009 L 84.164 0 L 92.557 0.515 L 100.919 1.544 L 108.728 3.018 L 116.384 4.988 L 123.793 7.455 L 130.373 10.224 L 136.629 13.481 L 142.286 17.103 L 147.097 20.91 L 151.356 25.179 L 154.784 29.643 L 157.336 34.117 L 159.104 38.936 L 159.995 43.657 L 159.981 48.672 L 159.104 53.438 L 157.336 58.222 L 154.784 62.73 L 151.356 67.194 L 147.128 71.41 L 142.286 75.271 L 136.629 78.892 L 130.373 82.149 L 123.686 84.945 L 116.384 87.386 L 108.728 89.356 L 100.843 90.838 L 92.557 91.859 L 84.164 92.374 L 75.632 92.365 L 67.439 91.859 L 59.322 90.865 L 51.344 89.365 L 43.611 87.386 L 36.233 84.918 L 29.623 82.149 L 23.351 78.883 L 17.709 75.271 L 12.928 71.464 L 8.639 67.194 L 5.227 62.775 L 2.613 58.124 L 0.892 53.438 L 0 48.592 L 0 43.782 L 0.892 38.936 L 2.613 34.25 L 5.227 29.599 L 8.639 25.179 L 12.867 20.963 L 17.709 17.103 L 23.351 13.49 Z" fill="rgb(0, 53, 51)" height="92.37355058823529px" id="UKafYhxUp" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(75.05 69.207)" width="159.99511058823543px"/><path d="M 29.623 10.224 L 36.309 7.429 L 43.611 4.988 L 51.344 3.009 L 59.322 1.509 L 67.439 0.515 L 75.693 0.009 L 84.164 0 L 92.557 0.515 L 100.919 1.544 L 108.728 3.018 L 116.384 4.988 L 123.793 7.455 L 130.373 10.224 L 136.629 13.481 L 142.286 17.103 L 147.097 20.91 L 151.356 25.179 L 154.784 29.643 L 157.336 34.117 L 159.104 38.936 L 159.995 43.657 L 159.981 48.672 L 159.104 53.438 L 157.336 58.222 L 154.784 62.73 L 151.356 67.194 L 147.128 71.41 L 142.286 75.271 L 136.629 78.892 L 130.373 82.149 L 123.686 84.945 L 116.384 87.386 L 108.728 89.356 L 100.843 90.838 L 92.557 91.859 L 84.164 92.373 L 75.632 92.365 L 67.439 91.859 L 59.322 90.865 L 51.344 89.365 L 43.611 87.386 L 36.233 84.918 L 29.623 82.149 L 23.351 78.883 L 17.709 75.271 L 12.928 71.463 L 8.639 67.194 L 5.227 62.775 L 2.613 58.124 L 0.892 53.438 L 0 48.592 L 0 43.781 L 0.892 38.936 L 2.613 34.25 L 5.227 29.599 L 8.639 25.179 L 12.867 20.963 L 17.709 17.103 L 23.351 13.49 Z" fill="rgb(0, 53, 51)" height="92.3733688235294px" id="BTS7eFR5p" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(75.05 48.404)" width="159.99511058823543px"/><path d="M 128.886 85.255 L 0 105.189 L 0 19.934 L 128.886 0 Z" fill="transparent" height="105.18923470588237px" id="XpYvdAzW3" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="round" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(57.724 4.311)" width="128.88608117646865px"/><path d="M 92.835 53.589 L 92.835 138.028 L 0 84.439 L 0 0 Z" fill="transparent" height="138.02757352941174px" id="K8lS4_UO3" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="round" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(192.202 5.927)" width="92.8345058823547px"/><path d="M 30.371 77.481 L 0 142.926 L 0 65.41 L 30.371 0 Z" fill="transparent" height="142.92631411764705px" id="ckGqTr2MB" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="round" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(21.656 34.705)" width="30.37088294117827px"/><path d="M 30.371 77.481 L 0 142.928 L 0 65.411 L 30.371 0 Z" fill="transparent" height="142.9275864705882px" id="r3233RfUB" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="round" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(254.683 70.769)" width="30.371064705883697px"/><path d="M 92.835 53.589 L 92.835 138.027 L 0 84.439 L 0 0 Z" fill="transparent" height="138.02721000000003px" id="LSrhVSYKp" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="round" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(21.656 104.548)" width="92.83486941176557px"/><path d="M 128.886 85.255 L 0 105.19 L 0 19.934 L 128.886 0 Z" fill="transparent" height="105.18959823529411px" id="x2Xopuli2" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="round" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(120.064 138.931)" width="128.88626294117825px"/><path d="M 29.623 10.224 L 36.309 7.429 L 43.611 4.988 L 51.344 3.009 L 59.322 1.509 L 67.439 0.515 L 75.693 0.009 L 84.164 0 L 92.557 0.515 L 100.919 1.544 L 108.728 3.017 L 116.384 4.988 L 123.793 7.455 L 130.373 10.224 L 136.629 13.481 L 142.286 17.103 L 147.097 20.91 L 151.356 25.179 L 154.784 29.643 L 157.336 34.116 L 159.104 38.936 L 159.995 43.657 L 159.981 48.672 L 159.104 53.438 L 157.336 58.221 L 154.784 62.73 L 151.356 67.194 L 147.128 71.41 L 142.286 75.271 L 136.629 78.892 L 130.373 82.149 L 123.686 84.945 L 116.384 87.385 L 108.728 89.356 L 100.843 90.838 L 92.557 91.859 L 84.164 92.373 L 75.632 92.364 L 67.439 91.859 L 59.322 90.865 L 51.344 89.365 L 43.611 87.385 L 36.233 84.918 L 29.623 82.149 L 23.351 78.883 L 17.709 75.271 L 12.928 71.463 L 8.639 67.194 L 5.227 62.774 L 2.613 58.124 L 0.892 53.438 L 0 48.592 L 0 43.781 L 0.892 38.936 L 2.613 34.249 L 5.227 29.599 L 8.639 25.179 L 12.867 20.963 L 17.709 17.103 L 23.351 13.49 Z" fill="rgb(0, 53, 51)" height="92.3733688235294px" id="dtqTIoHPq" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="5.69" stroke="rgb(180, 209, 63)" transform="translate(75.05 30.156)" width="159.99511058823543px"/></svg>)

" width="309px"><path d="M 0 0 C 62.424 52.356 97.323 76.699 124.122 133.612 C 125.774 137.121 129.275 139.414 133.153 139.414 L 178.332 139.414 C 182.27 139.414 185.824 137.027 187.434 133.433 C 220.347 59.939 255.786 56.508 309 0 C 223.902 11.24 92.218 13.79 0 0 Z" fill="rgb(244, 255, 200)" height="139.41414141414143px" id="YPPdTHgjp" width="309px"/></g></svg>)

" width="291.547144895145px"><path d="M 2.159 40.336 L 81.816 193.109 C 85.087 199.382 91.575 203.316 98.649 203.316 L 199.157 203.316 C 206.445 203.316 213.09 199.143 216.257 192.578 L 289.654 40.384 C 294.95 29.401 288.66 16.33 276.702 13.944 C 186.518 -4.05 102.962 -5.096 14.535 13.537 C 2.503 16.072 -3.526 29.434 2.159 40.336 Z" fill="rgb(174, 218, 0)" height="203.31595618278868px" id="beF0XCFO6" transform="translate(0 0)" width="291.54714489452647px"/></g></svg>)

" width="279.949712674067px"><path d="M 1.851 35.23 L 64.467 192.416 C 68.34 202.139 77.749 208.518 88.214 208.518 L 194.612 208.518 C 205.187 208.518 214.67 202.007 218.469 192.138 L 278.208 36.927 C 285.378 18.296 269.348 -1.055 249.578 1.717 C 168.185 13.131 109.4 10.303 29.167 0.211 C 9.712 -2.236 -5.406 17.013 1.851 35.23 Z" fill="rgb(145, 181, 0)" height="208.51809526570761px" id="tGoxWLGVd" transform="translate(0 0)" width="279.94971259877605px"/></g></svg>)

[Try Potpie →](https://app.potpie.ai/) [Book a demo](https://cal.com/team/potpie/potpie-s-product-demo)

Recommended Blogs

\\
\\
Evals\\
\\
Evaluating AI Coding Agents in the Real World\\
\\
\\
\\
Kshitij Mishra\\
\\
Apr 9, 2026](/content/blog/evaluating-ai-coding-agents-in-the-real-world/index.html)

\\
\\
compliance\\
\\
Compliance Is Architecture: Why Your AI Agent Needs a Context Graph\\
\\
\\
\\
Yash Krishnan\\
\\
Apr 9, 2026](/content/blog/compliance-is-architecture-why-your-ai-agent-needs-a-context-graph/index.html)

\\
\\
Complaince\\
\\
Compliance as Architecture: Building Trustworthy AI from the Ground Up\\
\\
\\
\\
Yash Krishan\\
\\
Feb 2, 2026](/content/blog/compliance-as-architecture-building-trustworthy-ai-from-the-ground-up/index.html)

\\
\\
Product\\
\\
How Customer Onboarding Works at Potpie\\
\\
\\
\\
Kshitij Mishra\\
\\
Mar 18, 2026](/content/blog/how-onboarding-works-at-potpie/index.html)

\\
\\
Knowledge Graph\\
\\
Building a Distributed Knowledge Graph Pipeline\\
\\
\\
\\
Dhiren Mathur\\
\\
Mar 16, 2026](/content/blog/building-a-distributed-knowledge-graph-pipeline/index.html)

\\
\\
Evals\\
\\
Repository Intelligence: Building the Next Generation of Agent Evaluation Data\\
\\
\\
\\
Deeptendu\\
\\
Feb 27, 2026](/content/blog/the-agent-evaluation-gap/index.html)

\\
\\
Agents\\
\\
AI Memory is Broken: we need brains, not hard drives\\
\\
\\
\\
Deepesh Genani\\
\\
Feb 4, 2026](/content/blog/ai-memory-is-broken-we-need-brains-not-hard-drives/index.html)

\\
\\
Behind the scenes : Potpie SWE Bench Agent \\
\\
\\
\\
Nandan\\
\\
Jan 29, 2026](/content/blog/behind-the-scenes-potpie-swe-bench-agent/index.html)

\\
\\
Engineering Agents\\
\\
Agentic COSS 2025\\
\\
\\
\\
Aditi Kothari\\
\\
Mar 20, 2025](/content/blog/agentic-coss-2025/index.html)

\\
\\
LLMs\\
\\
Potpie supports Multi-LLMs\\
\\
\\
\\
Dhiren Mathur\\
\\
Feb 27, 2025](/content/blog/potpie-supports-multi-llms/index.html)

\\
\\
Open Source\\
\\
Open-source custom AI agents \\
\\
\\
\\
Aditi Kothari\\
\\
Mar 20, 2025](/content/blog/open-source-custom-ai-agents/index.html)

\\
\\
Product\\
\\
Release of New web access feature\\
\\
\\
\\
Ayush Thakur\\
\\
Feb 20, 2025](/content/blog/release-of-new-web-access-feature/index.html)

\\
\\
Open Source\\
\\
Leveraging Codebase Knowledge Graphs for Agentic Code Generation\\
\\
\\
\\
Dhiren Mathur\\
\\
Oct 15, 2025](/content/blog/leveraging-codebase-knowledge-graphs-for-agentic-code-generation/index.html)

Spec driven development for large scale engineering

Product

[Enterprise](/content/enterprise/index.html)

[Use-cases](/#product)

[Blog](/content/blog/index.html)

[Pricing](/#home-pricing)

[Potpie for VS Code](https://marketplace.visualstudio.com/items?itemName=PotpieAI.potpie-vscode-extension)

[Documentation](https://docs.potpie.ai/introduction)

Company

[Trust Center](https://trust.potpie.ai/)

[Press](https://www.forbes.com/sites/davidprosser/2026/02/23/how-poptie-plans-to-help-enterprises-smash-the-ai-agent-barrier/)

[Careers](https://wellfound.com/company/potpie-ai/jobs)

[Open Source](https://github.com/potpie-ai/potpie)

[Contact Us](/content/contact/index.html)

Legal

[Privacy Policy](/content/legal/privacy-policy/index.html)

[Terms](/content/legal/terms-of-service/index.html)

© 2026 Potpie. All rights reserved.

\[CODEBASE Q&A AGENT\]