About InfraCode

InfraCode is a platform for practicing coding problems in AI and backend systems. It was directly inspired by LeetCode, Deep-ML, and other coding platforms.

I started InfraCode because I believe code is the foundation of great software, and great AI models. Theoretical concepts in distributed systems, object-oriented design, and LLM pipelines became easier for me to understand when I could see and alter the code behind it.

While building this, I've come to realize most of the problems (including ones with easy label) in this platform generally range from medium to hard difficulty. Many of the solutions aren't immediately obvious, and require clever use of common data structures, or may introduce libraries and APIs to work with. If you make it through five problems in one sitting, give yourself a pat on the back, this stuff isn't easy.

If you are an entry-level or mid-level engineer seeking to build a foundation for the next level, or a senior engineer refining your skills for infrastructure and AI-focused roles, I genuinely believe this platform will be useful to you.

This is currently a solo project, and I am very open to feedback regarding anything. This platform can't stay relevant if it doesn't evolve, and that will mostly come from its users.

Ready to scale your code and systems knowledge to the next level?