AiLearn AI Coding

Curriculum

Plan first, prompt second, verify always. Work through the sections in order, or use the fast track if your interview is this week.

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Interview this week?

The fastest path: understand what's graded, know your format, then do one timed practice run so the two-conversation juggle isn't new on the day.

Overview

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Understand what AI-enabled coding interviews are, why companies are adopting them, and what skills they actually evaluate.

Fundamentals

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The five skills interviewers grade: orienting in a codebase, planning before you prompt, driving the AI, verifying output, and communicating.

The Tools

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The AI coding tool landscape, covering Claude Code, OpenAI Codex, and OpenCode, and how to map your daily workflow onto an interview environment.

Common Patterns

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The algorithmic patterns AI-enabled interviews are built around, and how to recognize them fast enough to steer the AI toward the right approach.

Company Guides

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What the interview looks like at Meta, Shopify, LinkedIn, Canva, Uber, Rippling, and Adobe, and what each team cares about.

The AI Story

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From the 1956 Dartmouth workshop to GPT-5.6, Claude Code, and AI harnesses. How we got here, and why learning AI coding matters now.