Build task-oriented custom agents for your codebase that perform engineering tasks with high precision powered by intelligence and context from your data. Build agents for use cases like system design, debugging, integration testing, onboarding etc.
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nice product, congrats on the launch! curious though, as a non-tech person who actually has a tech co-founder - would there be a use case for me? simple coding stuff I could do that would work well within the larger ecosystem?
@kartik_subodh Great question! A lot of customers, especially enterprises have been working with us on agents that maintain standardisation of their code (service level rules and formats) while generating context aware integration tests, low level designs etc Root cause analysis across large legacy codebases has also been a fairly requested use case where the knowledge graph can really shine!
Absolutely love the story behind Potpie—when a side project becomes the project, that’s usually when the magic happens. ✨
You’re spot on: so much of what makes an AI agent useful comes down to context and tooling, not just model quality. The fact that Potpie is open-source and focused on deep integration with the codebase makes it super exciting for dev teams who want control without reinventing the wheel.
Huge props for building something that’s not just hype-driven, but genuinely dev-first. Can’t wait to try it out and see how far the automation can go across the SDLC. Let’s gooo! 🚀🔥
Aditi here, and I couldn’t be more excited to finally launch Potpie—our open-source platform for building custom AI agents to automate engineering workflows across the SDLC.
Dhiren and I have been friends for a decade, going all the way back to our engineering college days. From endless hackathons to countless late-night coding sessions, our friendship was built on a shared obsession: solving real-world engineering problems.
Dhiren’s journey has always revolved around developers. Whether at Cisco or his stint at a fast-paced startup, his passion has consistently been to build internal tools that make engineers’ lives easier. I’ve navigated product and engineering roles at Zoho and Razorpay, focused on building dev tools that have directly saved companies hundreds of thousands of dollars annually.
Potpie wasn’t originally planned—it emerged organically from one of our side projects. Initially, we just wanted to automate integration testing with AI agents. But as we dived deeper, we realized the true potential of these agents extended far beyond testing. What if developers had a platform to effortlessly spin up custom AI agents tailored for any engineering task?
And so, Potpie was born.
We strongly believe that an AI agent’s performance is entirely shaped by its circumstances—the tooling it uses, the context it understands, and the knowledge it has access to. That’s why Potpie deeply understands your codebase, provides precise tooling like semantic search and code retrieval, and autonomously executes tasks for you.
Making Potpie open source was a no-brainer for us. Tech, we believe, should always be open, accessible, and community-driven.
We’re thrilled to finally share Potpie with the world and can’t wait to see how it empowers you.
Excited for your feedback and to hear your stories!
Potpie AI
@mia_k1 For sure, you can use Potpie to understand a codebase, generate code snippets, summarise releases etc.
Blaze
Congrats on the launch Aditi, Dhiren & team! 🎉
Potpie AI
@akashhamirwasia Thank you! Would love to hear your feedback on the product, is there anything in particular that caught your eye?
Custom agents are really interesting, what are some use cases customers have been requesting the most?
Potpie AI
@kartik_subodh Great question! A lot of customers, especially enterprises have been working with us on agents that maintain standardisation of their code (service level rules and formats) while generating context aware integration tests, low level designs etc Root cause analysis across large legacy codebases has also been a fairly requested use case where the knowledge graph can really shine!
Zeda.io
@aditi_kothari and team has done a great job, making life of a builder simpler.
Potpie AI
@aditi_kothari @prashant_mahajan Thanks Prashant! Looking forward to seeing what you will build using Potpie!
I love the context-aware automation it offers for coding! 👍
Potpie AI
@shenjun Thanks Jun!
Pieces for Developers
Congratulations on the Launch. This is fire;
Potpie AI
@ialimustufa Thanks Ali! What did you love the most?
Elisi : AI-powered Goal Management App
Absolutely love the story behind Potpie—when a side project becomes the project, that’s usually when the magic happens. ✨
You’re spot on: so much of what makes an AI agent useful comes down to context and tooling, not just model quality. The fact that Potpie is open-source and focused on deep integration with the codebase makes it super exciting for dev teams who want control without reinventing the wheel.
Huge props for building something that’s not just hype-driven, but genuinely dev-first. Can’t wait to try it out and see how far the automation can go across the SDLC. Let’s gooo! 🚀🔥
Potpie AI
@williamrobertscott Thanks for the kind words! I'd love to see what you build with potpie!