Event-Driven Architecture with Kafka and Spring Boot: A Practical Guide
Learn how to build a robust event-driven system using Apache Kafka and Spring Boot. Covers architecture, producers, consumers, error handling, and best pract...
Microservices vs Modular Monolith: Making the Right Choice in 2026
Explore the trade-offs between microservices and modular monoliths in 2026. Learn when to decompose, when to stay modular, and how to avoid common pitfalls.
Building Intelligent Document Processing Pipelines with AI
Learn to build AI-powered document processing pipelines using OCR, NLP, and ML. Step-by-step guide with code examples for extraction, classification, and aut...
Cost Optimization Strategies for LLM API Usage
Learn practical strategies to reduce LLM API costs without sacrificing quality. Covers prompt engineering, caching, model selection, batching, and monitoring.
Vector Database Comparison: Pinecone vs Weaviate vs Qdrant
A deep-dive comparison of Pinecone, Weaviate, and Qdrant for vector search. Learn about architecture, performance, scalability, and use cases to choose the r...
Prompt Engineering for Developers: Patterns and Anti-Patterns
Master prompt engineering for LLMs with proven patterns and anti-patterns. Learn to craft effective prompts for code generation, debugging, and documentation.
Integrating OpenAI API with Spring Boot: Complete Tutorial
Learn how to integrate OpenAI's GPT API with Spring Boot. Step-by-step guide with code examples, best practices, and error handling for production-ready apps.
Deploying LLMs in Production: A Backend Engineer's Guide
A practical guide for backend engineers deploying large language models in production. Covers architecture, scaling, latency, cost optimization, and monitoring.
Building AI Agents with Spring AI Framework: A Practical Guide
Learn to build intelligent AI agents using Spring AI Framework. Covers architecture, tool integration, multi-agent patterns, and production deployment with J...
Fine-Tuning vs RAG: Choosing the Right Approach for Your AI App
Explore the key differences between fine-tuning and RAG for AI apps. Learn when to use each approach with real-world examples, trade-offs, and practical deci...