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....
DevOps for Developers: CI/CD with GitHub Actions, Firebase Hosting & Docker
Introduction If you’re a developer looking to automate your deployment workflow, this guide will help you set up a powerful...
How to Design a Multi-Tenant SaaS App from Scratch (The Right Way)
Introduction Designing a multi-tenant SaaS app is no small feat. If done right, it sets the foundation for scale, data...