Creating a Chatbot for Developer Documentation with Open‑Source LLMs
Introduction Developer documentation is critical, but searching through hundreds of pages of API references, tutorials, and wikis can be frustrating....
Ethical Considerations When Using AI Tools in Coding
AI tools are becoming integral to modern software development. From code generation to automated reviews, they save time and boost...
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...