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tirth8205
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Coding

Tirth Kanani tirth8205

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Coding
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AI/ML Engineer
646 followers · 83 following
  • University of Birmingham
  • London
  • 11:03 (UTC)
  • tirthkanani.com
  • @tirth_8205
  • in/tirthkanani
  • https://medium.com/@tirthkanani18

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Achievement: Galaxy BrainAchievement: Pull Sharkx3Achievement: Starstruckx4Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLO

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Achievement: Galaxy BrainAchievement: Pull Sharkx3Achievement: Starstruckx4Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLO

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tirth8205/README.md

Tirth Kanani

I'm an AI engineer and technical founder based in Oxford. I enjoy building things, particularly tools that make developers' lives easier.

I built code-review-graph, an open-source tool that helps AI coding agents understand how a codebase fits together without repeatedly searching through entire repositories. It has reached 32,700+ GitHub stars and 2,900+ forks.

It started as a problem I kept running into while working with coding agents. I wanted them to understand how different parts of a codebase connect, rather than having to figure everything out from scratch each time.

The project uses Tree-sitter to build a knowledge graph of functions, classes and dependencies. It supports multiple programming languages, integrates with Claude Code and other coding agents through MCP, and updates incrementally as the code changes.

I've also published reproducible benchmarks using real repositories, including FastAPI, httpx and Next.js, and built an interactive D3.js visualisation to explore the graph.

I've had some lovely opportunities to share what I've been working on, including demoing code-review-graph on stage at Anthropic's Claude Founder House in London.

More recently, I was selected as one of 35 engineers from over 1,500 applicants for the Future States Hackathon at 10 Downing Street, organised by 10DS and the Cabinet Office. We spent two days working alongside civil servants on challenges affecting public services across the UK. It was a great experience getting to build with people who understand these problems first-hand.

Beyond developer tools, I built CrumbleUX, a tool that uses vision models to review interfaces and identify usability issues. I took it from an idea to paying customers in a matter of weeks.

Previously, I worked at the University of Birmingham's HCI and AI Lab, researching multi-agent reliability, evaluation methods and graph neural networks.

Outside of work, I enjoy experimenting with new ideas, contributing to open source and meeting people building interesting things.

You can find me on LinkedIn, my website or GitHub.

Feel free to reach out at [email protected].

Pinned Loading

  1. code-review-graph code-review-graph Public

    Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-rep…

    Python 32.7k 3k

  2. huggingface/transformers huggingface/transformers Public

    🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Python 169k 35.2k

  3. Egonex-AI/Understand-Anything Egonex-AI/Understand-Anything Public

    Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…

    TypeScript 92.3k 7.9k

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