A reflective analysis on whether AI tools truly boost productivity or just create a sense of performative busywork in software development.
Explores how Claude Code Teams Agents enable specialized AI agents to collaborate like human engineering teams, moving beyond single-assistant coding to scalable AI-driven software delivery.
A developer reflects on using Claude Code, noting less coding but more testing and understanding of AI-generated code.
Explores 'vibe coding'—building software by prompting LLMs without reviewing generated code, its benefits, risks, and distinction from agentic programming.
A software developer reflects on balancing writing a book on effective writing for developers with AI-assisted bug bounty hunting.
Explores the difference between simply using AI and achieving AI maturity, focusing on real outcomes and disciplined integration.
How to ask better questions at work by providing context to reduce anxiety and ambiguity.
Explores motivated reasoning in the context of AI concerns for software development, questioning personal biases.
Recap of Codemotion Madrid 2026, a tech conference with talks on AI, hiring practices, and developer mentorship.
Explains why AI cannot bear legal or social responsibility, emphasizing that only humans can be accountable in business and tech services.
A developer argues that coding is just a tool for problem-solving, and AI doesn't threaten a developer's true value or creativity.
An essay arguing that some bureaucracy, wisely chosen, is better than none, using historical and organizational perspectives.
GitHub Copilot Rubber Duck uses a second AI model to review code plans, catching subtle errors in multi-file tasks.
Speculative analysis on the future of agentic AI in software development, focusing on economic sustainability and geopolitical implications.
A programmer reflects on unpaid overtime, implicit pressure, and the moment they chose to enforce work boundaries.
A blogger revives their old blog, moving from Wordpress to a static site generator, and plans to write more about software development and technical subjects.
Mitchell Hashimoto argues software success today comes from building blocks that enable quantity over quality, using AI to glue components together.
Explores why the term 'consciousness' is problematic in AI discussions and argues for using 'awareness' instead.
Explores harness engineering concepts to build trust in AI-generated code from coding agents.
Announcing a new podcast episode on Agentic Feature Owners, featuring Jessitron, with reflections on code and life.
