Walk into the loop knowing exactly what comes next.
Clear walkthroughs for coding rounds, system design, CS fundamentals, AI and ML. Everything you need to prepare, in one handbook.
Prepare for every round of the loop
Coding
Arrays, graphs, dynamic programming and more. Each problem comes with the pattern, a brute force, the optimal solution and the follow-ups interviewers like to ask.
Browse problems →System design
A repeatable framework for open-ended questions: requirements, estimates, data model, scaling and trade-offs, applied to classic designs.
Browse designs →CS theory
Operating systems, networks, databases and concurrency, explained at the depth interviewers actually probe.
Browse concepts →AI
LLMs, prompting, retrieval and agents: the concepts and system questions that now show up in modern engineering interviews.
Browse AI topics →Machine learning
Core algorithms, model evaluation, bias and variance, and how to talk through an ML system design from data to deployment.
Browse ML topics →Design patterns
Creational, structural and behavioral patterns with real code, plus low-level design questions that ask you to apply them.
Browse patterns →Fresh from the blog
Longest substring without repeating characters, step by step
Spot the window pattern in seconds and explain the invariant clearly.
Designing a URL shortener that survives a traffic spike
ID generation, read-heavy storage and where a cache earns its place.
Mutex vs semaphore vs monitor: what to say when asked
Crisp definitions, a deadlock example and the common follow-up questions.
A simple order to follow
Learn the patterns
Two pointers, BFS/DFS, heaps, DP. Patterns beat memorising problems.
Practise out loud
Talk through your approach, complexity and edge cases as you code.
Add system design
Use one framework on several classic designs until it feels natural.
Mock and review
Run timed mocks, then write down what slipped and fix that first.
One problem, one design, one concept. Every week.
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