Argues that LLMs serve as a baseline for developer tools, not replacements, due to their general but non-specialized capabilities.
A developer's evolving code methodology for using if/else vs separate if statements based on whether the logic fits on one screen.
Critiques the anti-AI movement's purely negative stance, arguing it undermines credibility and suggests more constructive criticism.
Delphi Tools Manager 1.0.4 released, adding support for Delphi versions 6 through 13, including the latest IDE versions.
Announcement of GExperts 1.3.26 beta release for Delphi 13 IDE, including download link and compatibility notes.
Microsoft announces Visual Studio 2026 Public Preview with performance improvements, new features, and the new Insiders channel.
Martin Fowler shares thoughts on LLMs in software development, discussing usage workflows, the future of programming, and the AI economic bubble.
A conversation between Martin Fowler and Unmesh Joshi on applying Fred Brooks's ideas about complexity to the role of LLMs in software development.
A CEO describes using AI (Claude 4 via Copilot) to code and ship a new autoqueue feature for Mergify in under an hour a day over three weeks.
Explores the shift from traditional coding to AI prompting in software development, discussing its impact on developer skills and satisfaction.
Explains how high-performing teams can effectively use Team OKRs to bridge strategy and execution, avoiding common top-down pitfalls.
A software developer's monthly retrospective on writing a book about effective writing for developers, covering progress, metrics, and reader feedback.
A software engineer argues that technical blogging remains valuable, inspired by a book on writing effective posts and using AI as an editorial tool.
Martin Fowler shares insights on AI coding assistants, highlighting productivity gains and the importance of development philosophy and code durability.
A developer's personal reflection on struggling to integrate AI coding tools effectively, feeling left behind despite the hype.
An experiment testing the limits of autonomous AI code generation for a Spring Boot app, revealing current limitations and the need for human oversight.
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.
Explores how AI-generated content challenges traditional work review heuristics and the need for new evaluation methods.
Explores the common practice of developers assigning personas to Large Language Models (LLMs) to better understand their quirks and behaviors.
An analysis of Generative AI's impact on coding and writing, exploring its benefits, limitations, and potential consequences for human creativity.
