Reflects on the shift in programming language development from a period of major new languages to a more fragmented, domain-specific era.
A developer's personal reflection on the addictive nature of AI agentic engineering, the loss of work-life balance, and the industry-wide trend of extreme work hours in the AI space.
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 tech professional expresses deep concern about an imminent AI-driven economic downturn and mass layoffs in the tech industry.
Explores five key pillars for optimizing AI-powered agentic coding workflows, including system instructions and spec-driven development.
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 rebuttal to Marcus Hutchins' critique of AI, arguing that his definition of intelligence as 'novel discovery' wrongly devalues most knowledge work.
A developer's personal reflection on struggling to integrate AI coding tools effectively, feeling left behind despite the hype.
A software engineer's reflection on why buggy software is released, using personal anecdotes about frustrating apps and websites.
An experiment testing the limits of autonomous AI code generation for a Spring Boot app, revealing current limitations and the need for human oversight.
Author discusses their blog being banned from Lobste.rs for using AI agents to assist in writing, sparking a debate on AI's role in content creation.
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 Claude Code as a transformative AI-powered programming interface, comparing its potential impact to Smalltalk-80's historical influence on software development.
Argues that companies built solely on the Model Context Protocol (MCP) are unlikely to succeed, while those using MCP as an integration layer have a better chance.
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.
