The AI Interview Guide with Aryan Raskar

The AI Interview Guide - For Software Engineers

Interviews have changed. AI-assisted coding rounds are showing up at top product companies, and "How do you use AI in your work?" is quickly becoming a standard question. Most engineers walk in without knowing what's being tested. This guide shows you exactly how to handle it!

PS: Use the AI40 coupon code to get 40% off (launch offer, so GO CHECK IT OUT FAST!!!)

What's Inside?

650+ pages across 8 modules plus a Bonus Pack, with real worked examples and code you can actually run.

PART 1: Understand AI Interviews, from Basics to Advanced

1. How Tech Interviews Are Changing in the AI Era
2. Where AI Shows Up in Hiring Loops
3. Company-by-Company Breakdowns (Meta, Google, Amazon, Shopify, Canva, LinkedIn, Anthropic and Indian Product Companies)
4. What Interviewers Actually Grade Now
5. Common Myths About AI Rounds
6. How LLMs Work (Tokens, Context Windows, Temperature)
7. Why AI Is Confidently Wrong
8. The AI Coding Failure Catalogue
9. The AI Tool Landscape
10. Prompting for Code
11. AI Vocabulary (RAG, Embeddings, Agents, MCP, Evals)
12. The AI-Assisted Coding Round: Format, Framework and Strategy
13. Fixing Bugs with AI
14. Extending Features with AI
15. Adding Test Coverage with AI
16. Refactoring Safely with AI
17. Debugging Real Bugs (Race Conditions, Performance Regressions, Timezone Bugs)
18. Finding Regressions with Git Bisect
19. The Code Review Round
20. Annotated PR Reviews (Backend and React)
21. Take-Home Assignments and AI Disclosure
22. Machine Coding / Low-Level Design with AI (Backend and Frontend)
23. AI in System Design Rounds (LLM Building Blocks, RAG, Cost, Safety)
24. 5 Worked LLM System Designs + Adding AI to Classic Designs
25. Behavioural Questions About AI
26. Amazon Leadership Principles in the AI Era
27. Building Your AI Stories
28. Questions to Ask Your Interviewers
29. Mock Interviews and Practice Drills
30. Claude Code Workflow (CLAUDE.md, Plan Mode, Hooks, Subagents, Plugins, MCP)
31. The Same Workflow in Cursor, Copilot, Codex and Gemini CLI
32. Talking About Your AI Workflow Credibly

PART 2: Hands-On Practice

Practice codebases built specifically for this guide, plus exercises, drill scripts and a real Claude Code session recorded end to end, so you can practise every round yourself before reading the answers.

PART 3: 63 AI Interview Questions + 18 System Design Prompts

From the common questions to the curveballs. The core questions come with:

1. What the interviewer is actually testing
2. A weak answer vs a strong answer
3. Likely follow-up questions
4. Worked stories you can adapt to your own experience

PART 4: Bonus Pack, Cheat Sheets and Prep Plans

Revise the whole guide in an hour. Includes an index of every question, ready-made 2-week, 4-week and 30-day prep plans with a printable tracker, round-by-round checklists, and fill-in worksheets for your stories.

PS: Use the AI40 coupon code to get 40% off (launch offer, so GO CHECK IT OUT FAST!!!)

If AI interviews make you nervous, to be honest you're not alone. Nobody trained us for these rounds, and most of the advice online is either vague or written for people building AI models.

BUT here's the good news, you don't need to become an AI engineer to clear them. You need to know what interviewers are grading and how to show it.

My guide (which I spent a lot of time making properly) covers exactly that, with real code, real examples, and free updates as interview formats keep changing. Walk in prepared, not guessing!