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.
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 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.
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.
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.
A developer's personal crisis about the impact of Generative AI on software engineering careers, ethics, and the future of the industry.
A developer reflects on the first month of VibeTunnel, a terminal app for running AI agents, detailing rapid growth, key technical milestones, and lessons learned.
An engineer critiques the misapplication of OKRs in tech teams, arguing for simple, outcome-focused plans over rigid quarterly rituals.
Discusses how AI tools like GitHub Copilot are changing developer work, arguing they act as powerful assistants rather than replacements.
A software engineer shares practical advice on mentoring, focusing on patience, framing advice, and navigating leadership growth within tech teams.
