Explores the transformative impact of AI on software development, featuring insights from industry experts on the future of coding.
An analysis of AI's impact on software development, based on interviews with 70+ developers, discussing automation, testing, and the future of coding.
AI-assisted coding reveals a philosophical divide between developers who prioritize craft and those focused on results.
AI-assisted coding reveals a long-standing divide between developers who prioritize craft and those focused on results.
Argues that AI coding agents can help developers produce higher quality code and reduce technical debt by automating tedious refactoring tasks.
Argues that AI coding agents should be used to improve code quality and reduce technical debt, not just speed up development.
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.
Explores why AI coding agents don't accelerate software delivery, arguing that code generation is no longer the primary bottleneck.
Explains how to improve AI coding agent results by providing project context via an AGENTS.md file.
Explores how large language models (LLMs) act as intimate cognitive interfaces, reshaping human thought through language and raising ethical concerns.
Explores how the metrics platforms expose (like engagement) shape developer behavior and product ethics, arguing they are not neutral technical choices.
Developer announces 'Haunted House Software' as a brand for releasing personal apps, starting with ScratchBook for Mac.
