The Future of AI in Software Development (2026 trends)
Artificial intelligence has already transformed software development with tools like GitHub Copilot, ChatGPT, and AI-powered code reviews. However, we’re still...
AI‑Powered Pair Programming: best practices for collaborating with an AI assistant
Introduction Pair programming has always been about two developers working together to write better code—one typing while the other reviews...
Generating Unit Tests with Large Language Models: Benefits and Risks
Unit tests are essential for ensuring code quality and catching bugs early. However, writing them manually consumes significant development time,...
Building Custom GPT Models for Your Team: tailoring models to a specific codebase.
Introduction Large language models (LLMs) like GPT-4, Claude, and Gemini are remarkably capable, but they’re general-purpose by design. Ask them...
Automating Documentation with AI: generating API docs and project wikis.
Introduction 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
Introduction GitHub Copilot has become one of the most popular AI coding assistants for developers worldwide. Studies show that developers...
AI-Powered Code Review Tools: Pros, Cons and How to Integrate Them into CI
Introduction 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.
Introduction 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
Introduction OpenAI has officially released ChatGPT 5, marking the most significant advancement in conversational AI since the original ChatGPT launch....