Most candidates solve interview problems. Strong candidates show how they think. The real upgrade in interviews is moving from guessing to a structured problem-solving process. Not because interviewers want steps, but because they want clarity. A solid framework helps you: - Think clearly under pressure - Avoid getting stuck - Catch edge cases and optimizations - Sound calm, professional, and experienced The goal: make the process automatic. The 3-Phase Interview Framework 1. Understand Clarify requirements, constraints, and edge cases before coding. 2. Design Start brute force, analyze time & space, then optimize using patterns(Binary Search, HashMaps, Sliding Window, Two Pointers, Heaps), this is for dsa oriented interviews. 3. Implement Walk through examples, write clean code, test edge cases, discuss trade-offs. This mindset separates candidates who eventually get there from those who look interview-ready from minute one. Don’t just practice problems. Practice the process. But remember you need to sound human, not a robot. So no cramming just mastering the art. Lemme know what y'all think

in my experience, comparing BigDecimal using ".equals()" does not correctly compare numbers. when comparing "1000" and "1000.00" both BigDecimal data types, java considers these 2 values to be different. I have found that using the "compareTo()" method to yield better results. you may save a value in json body as "1000", but when you retrieve the values again, it is saved as "1000.00" then when you for instance want to update an entity, if you use .equals(), java will consider these 2 values to be different. this is my code snippet for instance. if (updateRequest.price() != null && updateRequest.price().compareTo(p.getPrice()) != 0 ){ p.setPrice(updateRequest.price()); changes = true; }

A family member was having a seizure during the meeting. I will see you soon...

Hi everyone, Hope you're having a productive week. I'm currently following the Spring Boot for Beginners course and running into a persistent issue while trying to integrate Spring AI (OpenAI starter). My project is using the Spring Boot 4.0.0 parent POM. When I add the required dependency (spring-ai-openai-spring-boot-starter), I get the following error during my Maven build: Dependency 'org.springframework.ai:spring-ai-openai-spring-boot-starter:' not found I've checked the official documentation, which states: "Spring AI supports Spring Boot 3.4.x and 3.5.x." My Questions to the Community are : 1. Has anyone successfully managed to integrate Spring AI into a project using the Spring Boot 4.0.0 ? If so, what specific Spring AI BOM version did you use, and did you need any custom repository configuration? 2. Since Spring AI officially only supports the 3.x line, is the general consensus that I should downgrade my project's parent POM to Spring Boot 3.5.0 to ensure dependency resolution and stability? Any advice or confirmation from someone who has navigated this version conflict would be greatly appreciated 🙏 Thank you

Hi guys who would want a session on spring ai? Integrations with various models from either Azure AI Foundry or Gemini