AI
Topics

Machine Learning (ML) in Software Development
Discover how machine learning (ML) is used in software development to optimize workflows and improve user experiences. Gain insights from real-world examples, learn how developers are integrating ML models into existing pipelines, and explore the future potential of ML in software development.

AI Code Reviews
Discover how AI code reviews can boost developer productivity and speed up workflows by automating error detection and providing real-time feedback.

What is Natural language processing (NLP)?
Learn why natural language processing (NLP) is becoming an indispensable tool for developers.

What are AI models?
Learn how AI models help organizations identify data patterns, automate workflows, solve complex problems, forecast outcomes, and enhance decision making.

Enhancing software development with retrieval-augmented generation
Learn how Retrieval Augmented Generation (RAG) improves coding, debugging, and code reviews.

What are AI agents?
Discover how AI agents transform software development by automating workflows and enhancing security. Explore the different types of AI agents, learn how they integrate into development environments, and see real-world examples of their impact. Learn best practices for using AI agents and get a glimpse into the future of AI in development and security.

What is AI code generation?
AI code generation uses machine learning models to provide context-based code suggestions.

AI coding tools for beginner and expert coders
How beginner and expert coders use AI coding tools to code faster and ship great software.

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
