AI Interview Coach GitHub 2026

🔧 AI Tools 2026-08-13 2 min read

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

  1. Use coding-interview-university as the roadmap, tech-interview-handbook as the daily plan.
  2. When a topic feels weak, open the matching hello-algo chapter and re-explain it aloud.
  3. Practice system design with system-design-primer's worked examples, timed.
  4. 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.

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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 — no paid placements.

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