Depth AI

AI that deeply understands your codebase

5.0•1 review•

214 followers

AI that deeply understands your codebase

5.0•1 review•

214 followers

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Depth AI is a tool that helps you answer complex questions on large and messy codebases. It reduces time to onboard new engineers from months to days and enables teams to ship code faster and better. Use it wherever you work - Slack, GitHub Copilot and more.

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Launch tags:Software Engineering•Developer Tools•Artificial Intelligence

Launch Team / Built With

Viktor.comAn AI coworker that actually does the work

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Maker

📌

Hey Product Hunt! We are Aditya and Prashant, founders of Depth AI, and we’re thrilled to be live on Product Hunt! 🚀 About Us We were early engineers at one of the fastest-growing AI startups. During our time there, we watched the company scale like crazy, 5x-ing their engineering team in just a few months. Suddenly, early engineers were spending over half their time onboarding new folks—answering endless questions on Slack, hopping into meetings to explain the architecture, writing documentation, and reviewing tons of code. While there are a lot of tools out there for writing boilerplate code or even building small apps, none of them really work for large, constantly evolving enterprise codebases. We saw our friends at other fast-growing companies struggling with the same thing. That’s when we decided to build Depth AI - a code intelligence tool that truly understands your codebase. 💡 How is Depth AI different? Most AI dev tools focus on code generation or last-mile tasks like code reviews and ticket enrichments. Our product comes into play when you don’t know where to start—endless engineering hours spent on KTs and trying to understand how components interact or where to begin implementing a new feature. 👉 Depth AI helps you answer complex questions on large codebases in seconds. 🔍 Why is our search quality better? Traditional search methods—chunking, embedding, retrieving, and reranking—work well for unstructured data but fall short for code, which is inherently structured and far more complex. So, we took a completely different approach. We build an entire code graph and use AI agents to traverse its abstractions, generating deep knowledge. Combined with code itself, this allows Depth AI to: ✅ Answering complex, high-level questions about architecture. 📍 Pinpointing entry points (i.e., the code files you need) when you’re unsure where to start. 🚫 Eliminating the need for manual tagging or summarization of files. 🎯 Our long term mission To build a staff software engineer-level code intelligence accessible to every engineer, and a platform to build powerful tools on top. 📅 Near-Term Roadmap We are working on improving our overall knowledge graph to capture how different components interact and impact each other. We’re also developing Research Mode, which will: 🕒 Take a few minutes to produce high-quality responses. 🛠️ Be ideal for generating comprehensive outputs like architecture diagrams and detailed explanations. 🔍 Focus on depth and accuracy, making it perfect for complex queries or technical deep dives. We’re super excited to launch on Product Hunt and hear what you think! P.S. Huge thanks to @kevin for not only hunting us but also providing amazing advice on our launch 🙏

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2yr ago

ScaryStories Live

@kevin @aditya1081 This looks really interesting! How does Depth AI handle situations where the codebase uses unconventional patterns or team-specific conventions? I’m curious how flexible it is in understanding those nuances.

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2yr ago

Maker

@tonyabracadabra We use a lot of classic ML on code graph during indexing, so we try to capture most team specific nuances in your code. We also plan to add personalisation signals in search in near future - so results for a backend dev for example would be very different from a frontend dev on exactly the same query. Lmk if that answers your question.

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2yr ago

Depth AI

Maker

@tonyabracadabra Also, feel free to try it out at https://app.trydepth.ai/ (you can use it on demo repos without sign in).

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2yr ago

ScaryStories Live

@kevin @aditya1081 Congrats on the launch, Depth AI Team! 🎉 I love how you're focusing on the high-level understanding and architecture insights—so often, the biggest challenge is figuring out where to start. Quick question: How does Depth AI handle rapidly evolving codebases, especially when things change frequently? Best of luck with the journey ahead! 🚀

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2yr ago

Maker

@helen9 We have an incremental crawl where we update our search index on every commit - so Depth AI responses are always up to date Appreciate the kind words :)

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2yr ago

Great product! Something that is the need of the hour! What programming languages do you support currently? Also, what is the timeline for supporting Gitlab/Bitbucket hosted repositories?

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2yr ago

Maker

@koustav_chowdhury We support most programming languages - python, java, go, cpp, typescript, js, ruby, php, swift, scala, rust and more

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2yr ago

Depth AI

Maker

@koustav_chowdhury Thanks for the kind words. We do have support for Gitlab, BitBucket but they are not self-serve right now and are only available in our enterprise offering. We are also eager to add support for more code hosts in future.

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2yr ago

IntroJoy

@aditya1081, @praskr_iitk - Congrats on the launch. How do you handle frequently changing codebase? Does it require reindexing on every change? Would love to hear how it balances depth with speed for large teams!

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2yr ago

Depth AI

Maker

@ashitvora We have incremental crawls where we re-index only part of the whole knowledge graph based on the diffs for every commit. So, after the initial crawl it's really fast even for large codebases.

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2yr ago

Maker

@ashitvora Responses are always on the latest commit - our index is updated on every new commit within a few minutes

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2yr ago

This seems like a great product! A few questions: 1) What does Depth offer that Github CoPilot + VSCode does not? 2) Can this be run 'on premise' / locally, i.e., integrated with a local model like Llama 3.3?

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2yr ago

Depth AI

Maker

@susheel_daswani Github copilot in vscode or Cursor is good for assisting you in IDE where you have some idea of what to do. So, you can manually add files, folders in context and it can work with that. We are focusing more on existing large codebases where most developers have little idea of the bigger picture.

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2yr ago

Congratulations on the launch Depth AI team!! 🚀🚀 Impressive product with a smooth experience! This tool is bound to be a game-changer for anyone trying to ramp up on new codebases and especially for open-source developers, as it enables effortless interaction with repositories. quick question - Once the codebase is indexed and available for chat, do you have plans to support collaborative discussions or sharing of threads for teams working on the same repository and also to provide recommendations for code refactoring based on the analysis? All the best for journey ahead!!

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2yr ago

Maker

@purvi_jain4 We don't support sharing chats at the moment but it is something that we have in our backlog

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2yr ago

Looks really cool! How are you differentiating with other similar products basically wanted to know your USP in terms of product. Thanks in advance.

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2yr ago

Maker

@shivam_kumar_jha3 Are you talking about tools like cursor? They mainly help around code generation and building smaller apps - but they don't help much when you don't know where to start. We are solving for the underlying code intelligence ie. how can our systems understand code better and provide good quality responses to complex questions - something that all engineers face in bigger companies

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2yr ago

@aditya1081 Thanks for your reply. Understood

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2yr ago

Congrats on the launch! As an avid screenshot lover I find this app really cool! The only thing that prevented me from using it is the paywall. $24/yr or 5 per week feels too high. I'll save the free trial for when I need it. Congrats again!

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2yr ago

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