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Each lesson has checkpoints that test understanding, not memory. Get stuck — AI tutor helps with questions, not spoilers.
Algorithms, system design, AI engineering, architecture, math — 50+ structured courses from beginner to advanced.
Every concept has a checkpoint right after it. Misconception warnings catch common mistakes before they stick.
Stuck on something? AI tutor uses Socratic method — asks guiding questions instead of giving the answer away.
Anthropic's own research: devs who delegate to AI score 17% lower on assessments. Those who ask AI "why?" score 65%+. Code review still asks "explain this." Interviews still ask "how does it work?"
AI makes you fast. Understanding makes you irreplaceable.
Asked AI → Copied → Missed O(n³) → Prod is slow → Can't explain at code review
Spotted nested loops → Asked AI to optimize → Got O(n log n) → Explained to the team
After every concept — a question that checks understanding. Not at the end, right after. Wrong? Detailed explanation why.
Each lesson highlights common mistakes and why people make them. You learn the trap before falling into it.
AI tutor doesn't give the answer right away. Asks guiding questions — helps you get there yourself. Three modes: direct help to full Socratic.
Lessons use examples from real systems — Netflix, Uber, Stripe. Not abstract theory, but how things actually work in production.
Structured courses with clear progression. Each lesson builds on the previous one.
Data structures and algorithms with step-by-step worked examples. Covers everything from binary search to graph algorithms.
Load balancers, databases, caching, message queues. How Netflix, Uber, and Stripe actually work under the hood.
Practical AI engineering: how to build with LLMs, set up RAG pipelines, design AI agents, and work with vector databases.
Software architecture patterns: microservices, event-driven design, CQRS, domain-driven design. When to use what.
ML with intuition first: understand why algorithms work before touching the code. Regression, trees, neural networks, NLP.
Math foundations with interactive visualizations. Calculus, linear algebra, probability theory, discrete math.
All lessons are free. AI tutor is free with daily limits. No bait-and-switch — content doesn't hide behind a paywall.
None of them check if you actually understood. We do — with checkpoints after every concept, misconception warnings, and an AI tutor that asks questions instead of giving answers.
Checkpoints after every concept — not at the end, right after the explanation
Misconception warnings — common mistakes explained before you make them
AI tutor that asks questions — Socratic method, not just a chatbot with answers
Worked examples — step-by-step solutions with reasoning, not just code
Each idea explained with real-world analogies and interactive examples. No "it's obvious" — everything is spelled out.
Immediately after — a question that tests understanding, not memorization. Wrong answer? Detailed feedback on why.
Still confused? Open AI chat — it won't just give the answer. It asks "what part is unclear?" and guides you step by step.
“Can build apps but can't pass technical interviews”
Fill CS gaps with structured lessons — algorithms, data structures, complexity
“5 years of CRUD. Need system design & architecture to level up”
System design, distributed systems, architecture patterns — with real tradeoffs
“AI writes the code, but you can't explain it at code review”
Build genuine understanding so you can direct AI, not just accept its output
2,000+ lessons, no signup wall. AI tutor included on free plan with daily limits.