Building an AI-Ready Codebase: Part 2
Building an AI-Ready Codebase: Part 2 In the first part of this guide, we explored the foundation of an AI-ready repository by creating reusable project docu…
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Building an AI-Ready Codebase: A Practical Guide to AGENTS.md, ARCHITECTURE.md, CODING_STANDARDS.md and More
Building an AI-Ready Codebase: A Practical Guide to AGENTS.md, ARCHITECTURE.md, CODING_STANDARDS.md and More In the previous article, we explored Context Engin…
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Context Engineering for AI Coding: The Complete Beginner's Guide
Context Engineering for AI Coding: The Complete Beginner's Guide Artificial Intelligence has fundamentally changed the way software is written. What starte…
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Rate Limiting vs Throttling in Spring Boot (With Custom Implementation)
Introduction In modern backend systems, rate limiting is essential to ensure: System stability Fair usage Protection against abuse (bots…
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Git Rebase vs Merge in Java & Spring Boot Projects: Why Teams Prefer Merge on Shared Branches
In Java and Spring Boot projects, teams usually work on large codebases, multiple microservices, and long-running feature branches. One wrong Git c…
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How to Use MDC with ExchangeFilterFunction for Request Tracing in WebClient
Modern microservices rely on WebClient for efficient, non-blocking HTTP calls. But logging, debugging, and tracing become challenging when calling …
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Spring Boot Logging with MDC: The Key to End-to-End Request Tracing
Modern applications, especially microservices, rely heavily on logs to troubleshoot issues. But traditional logs often fail to provide context. When a sin…
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Camunda Saga Orchestration with YAML: A Real-World E-Commerce Example
Distributed microservices often face the challenge of maintaining data consistency without relying on heavy distributed transactions. The SAGA design pattern i…
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