AI-assisted coding reveals a long-standing divide between developers who prioritize craft and those focused on results.
AI-assisted coding reveals a philosophical divide between developers who prioritize craft and those focused on results.
Argues that AI coding agents should be used to improve code quality and reduce technical debt, not just speed up development.
Argues that AI coding agents can help developers produce higher quality code and reduce technical debt by automating tedious refactoring tasks.
A tech digest discussing AI's impact on software development, data privacy fines, and the 'Apprentice Gap' in an agentic world.
A developer reflects on how AI coding assistants like Claude have replaced deep 'flow state' programming with fragmented, high-throughput 'air traffic control' work.
A guide for engineering leaders on preparing their teams and organizations for the challenges and opportunities of AI adoption in software development.
A developer explains why they switched to Test-Driven Development (TDD) and how it improved their coding process, with a focus on testing inputs/outputs.
Explores how modern LLM coding agents adapt to new or private tools, challenging the 'Choose Boring Technology' assumption.
Explores how modern LLM coding agents adapt to new or private tools, challenging the 'Choose Boring Technology' assumption.
Key questions for developers, managers, and stakeholders to audit a Rails codebase and identify technical debt and process issues.
Key questions for developers, managers, and stakeholders to audit a software codebase and identify process issues.
A passionate argument for embracing AI in tech careers, addressing skepticism and highlighting its transformative impact on software development.
Explains how to improve AI coding agent results by providing project context via an AGENTS.md file.
Explores why AI coding agents don't accelerate software delivery, arguing that code generation is no longer the primary bottleneck.
Explores how the metrics platforms expose (like engagement) shape developer behavior and product ethics, arguing they are not neutral technical choices.
Explores how large language models (LLMs) act as intimate cognitive interfaces, reshaping human thought through language and raising ethical concerns.
Developer announces 'Haunted House Software' as a brand for releasing personal apps, starting with ScratchBook for Mac.
An article arguing for the importance of correctness in software, especially in critical systems like reporting and ETL, and discussing when it is essential.
Argues for rigorous scientific studies on the impact and risks of using LLMs in software development, highlighting current lack of impartial research.
