Explores the long-term impact of LLMs on software development, focusing on code validation and the balance between disposable and durable software.
A developer builds a personal AI workflow using LangGraph, focusing on integrating human-in-the-loop processes.
A developer shares how AI tools helped reverse-engineer and optimize a slow API endpoint, moving from a complex transaction script to a domain model.
A recap of major Generative AI developments in summer 2025, covering new models from Google, xAI, and Chinese firms, plus policy and security news.
A recap of organizing and speaking at Global Azure Quebec 2025, focusing on AI red teaming and securing generative AI workloads.
An analysis of Generative AI's impact on coding and writing, exploring its benefits, limitations, and potential consequences for human creativity.
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 technical exploration of llmfs, a FUSE filesystem where all file operations are dynamically generated and controlled by an LLM.
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.
An engineer shares insights on how AI is transforming software development workflows and the rise of the AI-enhanced engineer.
Learn how Amazon Q Developer AI assistant enhances software security and code quality through SCA, SAST, and DevSecOps integration.
A developer explains why generative AI coding tools don't increase their productivity, citing the time needed to review code and the responsibility for the final product.
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.
An article discussing the risks of over-relying on AI for creative work and how it can damage professional credibility and trust.
Summary of new features and innovations for Amazon Q Developer, an AI-powered coding assistant, launched in April 2025.
