The Spring Boot annotations you use in a real service, grouped by where they go – configuration, injection, REST, validation, errors, data, scheduling, caching and tests – with examples and the classic mistakes.
A day-by-day plan for Java interview preparation: core Java, collections, Java 8+, multithreading, Spring Boot, microservices, SQL and DSA, with two mock interviews at the end.
Every type of interface in Java explained with code you can compile: normal, functional, marker, sealed and nested interfaces, the properties every interface has, and the interview questions that follow.
Small, balanced or most capable? Match models to tasks by quality, latency and cost, build a tiny eval set, and route requests instead of picking one model for everything.
Give context, paste real errors, ask for a plan first, make done testable and review every diff. Practical habits that turn AI assistants into reliable pair programmers.
Prompt caching, trimming chat history, retrieval instead of stuffing, right-sizing models, output limits and batch APIs — a practical checklist to shrink your AI bill.
Connectors let AI assistants read and act in your real tools. How they relate to MCP, the tools, resources and prompts a connector exposes (with a real tool schema), OAuth scopes, a safety checklist, and how to build one.
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