Fast, diagram-driven refreshers for a senior technical interview. Each is a single offline page: real code, worked examples, and the gotchas that actually come up. Built for a Gen AI / .NET / React role, useful for any backend or full-stack loop.
Hooks, state, effects, context, memoization, custom hooks, and a streaming chat UI. Anti-patterns included.
Value vs reference types, async/await deep dive, DI lifetimes, ASP.NET Core, EF Core, Bedrock from .NET.
Collections and HashMap internals, generics/PECS, streams, concurrency, equals/hashCode, Spring Boot.
IAM, Lambda, S3, DynamoDB, VPC, and a deep Bedrock section (Converse API, Knowledge Bases, Guardrails) with diagrams.
The interview framework, estimation, caching, sharding, CAP, consistent hashing, plus two full worked designs.
Meaning as geometry. Cosine similarity, dimensions, chunking, and a live semantic-map demo. The base layer of RAG.
Vector databases and ANN search. Upsert, query, metadata filters, namespaces, and an animated brute-force vs approximate search.
Orchestrating a RAG pipeline. LCEL chains, retrievers, memory, agents, and an animated question-to-answer flow.