KFCV50

An interactive visualization tool for TikTok’s Knit DI framework that maps services and dependencies, making complex architectures easier to explore, debug, and understand.

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Inspiration

Managing dependencies in large-scale projects is notoriously difficult, and while TikTok’s Knit framework provides excellent performance through bytecode-level dependency injection, it lacks visibility tools. This inspired us to create KFCV50, a visualization platform that makes these hidden structures visible, so developers can debug, optimize, and understand their projects more effectively.

What it does

KFCV50 provides interactive visualizations of dependency graphs for any Knit-based project. It:

  • Maps services, modules, and their relationships into clear node-link diagrams

  • Detects issues such as circular dependencies and unused components

  • Provides performance metrics and optimization suggestions

  • Offers onboarding support by making system architecture transparent

How we built it

We built KFCV50 as a full-stack solution:

  • Backend: Python with FastAPI parses Knit configuration files, analyzes class hierarchies, and generates dependency graph structures

  • Frontend: React + Next.js with D3.js renders intuitive, interactive graphs with zoom, pan, drag, and dynamic layouts

  • Integration: REST APIs connect backend analysis with the frontend, providing real-time updates and multi-project support

Challenges we ran into

  • Extracting and parsing Knit’s dependency structures required building custom algorithms

  • Ensuring smooth visualization for large, complex graphs pushed us to optimize performance

  • Designing a UI that balances detail and clarity was an iterative challenge

  • Coordinating backend and frontend development within hackathon time constraints

Accomplishments that we're proud of

  • Delivering a working tool that visualizes real Knit dependency graphs end-to-end

  • Implementing automatic issue detection like circular dependency analysis

  • Building a modern, responsive, and interactive frontend experience

  • Collaborating as a team to merge multiple components into one cohesive platform

What we learned

  • Deep understanding of dependency injection and Knit’s unique bytecode-based approach

  • Hands-on experience with graph visualization and performance optimization

  • How to design developer tools that balance technical depth with usability

  • The importance of efficient teamwork and version control in high-pressure environments

What's next for KFCV50

  • Advanced analytics such as dependency complexity scoring and cross-project comparisons

  • IDE and CI/CD integration to surface insights directly in developer workflows

  • Enhanced scalability for enterprise-level projects

  • Expanding beyond Knit to support other dependency injection frameworks, evolving into a general-purpose architecture visualization platform

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