Circuit Breakers & Resilience Patterns in Microservices
MicroservicesIntroduction In a microservices architecture, services depend on each other. If one service fails or slows down, it can quickly […]
Building Scalable Microservices with Spring Cloud vs Node.js vs Python
MicroservicesIntroduction When building microservices, choosing the right stack is as important as the architecture itself. In 2025, three popular options
Designing Event-Driven Microservices with Kafka
Backend, MicroservicesIntroduction Modern applications demand scalability, resilience, and real-time responsiveness. Event-driven architectures (EDA) have emerged as a key approach to meeting
REST vs GraphQL vs gRPC: selecting the right protocol
BackendIntroduction Choosing the right communication protocol is one of the most important architectural decisions in modern software development. REST has
Implementing GraphQL APIs in 2025: benefits and pitfalls
BackendIntroduction Since its release by Facebook in 2015, GraphQL has grown into one of the most popular alternatives to REST
Creating a Chatbot for Developer Documentation with Open‑Source LLMs
AIIntroduction Developer documentation is critical, but searching through long pages of API references and wikis can be frustrating. A chatbot
Ethical Considerations When Using AI Tools in Coding
AI ToolsIntroduction AI tools are becoming essential in modern software development. From code generation to automated reviews, they save time and
The Future of AI in Software Development (2026 trends)
AIIntroduction Artificial intelligence has already transformed software development with tools like GitHub Copilot, ChatGPT, and AI-powered code reviews. But what’s
AI‑Powered Pair Programming: best practices for collaborating with an AI assistant
AIIntroduction Pair programming has always been about two developers working together to write better code. But now, with tools like
Generating Unit Tests with Large Language Models: Benefits and Risks
AIIntroduction Unit tests are essential for ensuring code quality and catching bugs early. But writing them manually takes time, and
Building Custom GPT Models for Your Team: tailoring models to a specific codebase.
AIIntroduction Large language models (LLMs) like ChatGPT are powerful, but general-purpose. They may not fully understand your team’s codebase, patterns,
Automating Documentation with AI: generating API docs and project wikis.
AI ToolsIntroduction For many developers, writing documentation is the least exciting part of a project. Yet, good docs are essential for
Integrating GitHub Copilot into Your Workflow: Settings, Tips and Limitations
AI ToolsIntroduction GitHub Copilot has become one of the most popular AI coding assistants for developers. Powered by OpenAI’s Codex, it
AI-Powered Code Review Tools: Pros, Cons and How to Integrate Them into CI
AI, Developer ToolsIntroduction Code reviews are essential for catching bugs, ensuring quality, and maintaining consistency across a team. But manual reviews can
Using AI for Code Refactoring: a practical guide for leveraging LLMs to reorganise legacy code.
AIIntroduction Legacy code is everywhere. It powers critical systems, old projects, and applications that still run businesses today. But it’s
ChatGPT 5 Is Here – Everything You Need to Know About the Next Generation of AI
AIOpenAI has officially released ChatGPT 5, and it’s the most advanced version of the popular AI chatbot yet. If GPT-4
DevOps for Developers: CI/CD with GitHub Actions, Firebase Hosting & Docker
DevOpsIf you’re a developer looking to automate your deployment workflow, this guide will help you set up a powerful CI/CD
How to Design a Multi-Tenant SaaS App from Scratch (The Right Way)
BackendDesigning a multi-tenant SaaS app is no small feat. If done right, it sets the foundation for scale, data isolation,