AI Interview Coach GitHub 2026: 5 Open Source Projects for Mock Interview Practice
Paid interview prep platforms are expensive and locked-in. These five open source projects give you practice, feedback and structure for free - and the community data behind them is the real value.
💡 What You Will Learn
Paid interview prep platforms are expensive and locked-in. These five open source projects give you practice, feedback and structure for free - and the community data behind them is the real value.
📜 Table of Contents
The Open Source Prep Stack
Interview prep has a free, high-quality open source layer that most candidates never find. The stars are real and the content is battle-tested by thousands of candidates. Stars fetched 2026-08-13.
The Projects
tech-interview-handbook (141,804 stars) - the complete package: algorithm prep, system design, behavioral questions, resume advice and negotiation scripts. It is a curriculum, not a question bank - follow its study plan and you have a structured grind instead of random practice.
hello-algo (129,378 stars) - the animated algorithm textbook. Every structure and technique has visuals and runnable code in multiple languages. The answer to the most common interview failure: understanding the pattern, not just memorizing it.
Coding interview university (jwasham/coding-interview-university) - the 8-month self-study plan turned into a checklist. Aggressive, opinionated, and honest about the time investment. Best for career switchers who need a map.
system-design-primer (donnemartin/system-design-primer) - the system design bible: anki-style flashcards, interview walkthroughs, and worked examples from real companies. The resource for the interview round that no coding practice covers.
AI-as-interviewer repos - a newer category: projects that wrap an LLM into a timed mock interviewer with follow-up questions and rubric-based feedback. Run them locally with your own API key; the quality depends on the prompt design, so try a couple.
How to Combine Them
- Use coding-interview-university as the roadmap, tech-interview-handbook as the daily plan.
- When a topic feels weak, open the matching hello-algo chapter and re-explain it aloud.
- Practice system design with system-design-primer's worked examples, timed.
- Finish each week with an AI mock interview, and feed your weakest topic into the next week's plan.
The combination works because each project covers a different failure mode: knowledge, understanding, design and delivery. One repo alone leaves a hole; the five together cover the whole interview.
Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only โ no paid placements.
