A developer's personal crisis about the impact of Generative AI on software engineering careers, ethics, and the future of the industry.
Discusses how AI tools like GitHub Copilot are changing developer work, arguing they act as powerful assistants rather than replacements.
Martin Fowler shares three articles on Gen AI's impact on developers and reflections on meaningful work.
A Thoughtworks engineer argues that developers must still care about code quality and testing, even with advanced AI coding assistants.
A hands-on guide for JavaScript developers to learn Generative AI and LLMs through interactive lessons, projects, and a companion app.
Martin Fowler argues that LLMs represent a fundamental shift in software development, comparable to the move from assembler to high-level languages.
Learn how Amazon Q Developer AI assistant enhances software security and code quality through SCA, SAST, and DevSecOps integration.
An overview of Generative AI and an introduction to building AI agents using Python and the LangGraph library.
Explains the differences between Machine Learning and Generative AI, with examples and industry applications.
Summary of new features and innovations for Amazon Q Developer, an AI-powered coding assistant, launched in April 2025.
Explores the integration of Java with Generative AI and Large Language Models (LLMs) for building innovative applications like AI chatbots.
Summary of a panel discussion at NVIDIA GTC 2025 on insights and lessons learned from building real-world LLM-powered applications.
AWS Developer Day 2025 recordings showcase how generative AI is transforming software development, featuring sessions on tools, productivity, and skills.
A free, interactive course on GitHub teaching Generative AI concepts using JavaScript through a creative time-travel adventure narrative.
Amazon Q Developer now supports upgrading Java applications to Java 21, automating the migration process with AI assistance.
A technical guide on creating custom evaluators for Generative AI applications using the Azure AI Evaluation SDK and Azure AI Foundry.
AWS Developer Day 2025 highlights how generative AI tools from AWS are transforming and accelerating software development in the cloud.
Argues that generative AI creates wasteful communication and advocates for concise, human-driven interactions instead.
A guide to common mistakes developers make when building applications with generative AI, including overuse and poor UX integration.
A recap of AWS re:Invent 2024 Day 3, covering sessions on advanced DynamoDB data modeling and key AI/Data announcements from Amazon Bedrock.
