Critique of AI's 'frictionless' promise, arguing human expertise and collaboration remain essential despite automation hype.
A daily tech reading list covering AI agents, software engineering practices, LLMs, and developer tools.
Article discusses the true purpose of code review beyond bug-finding, emphasizing judgment, communication, and codebase health.
A developer's month-long experiment with OpenAI's Codex, exploring how AI is fundamentally changing software development and the programmer's role.
Advocates for radical transparency in customer support, sharing detailed technical explanations instead of vague corporate responses.
Introducing Case, a programmatic harness that dispatches AI agents to automate bug fixes and feature development across multiple open-source repositories.
How to use pattern matching and AI agents to scale code review processes in high-output development teams.
Explores how AI agents are evolving from code assistants to autonomous developers, using existing workflows like pull requests for collaboration.
Reflects on the shift in open source from a community-driven ethos of sharing 'lego bricks' to a more commercial, VC-backed model.
A Django core developer warns against over-reliance on LLMs in open-source contributions, emphasizing the need for human understanding.
A Django core developer warns against over-reliance on LLMs in open-source contributions, emphasizing the need for human understanding.
Java 26's 'boring' nature is a strength, focusing on stability, performance, and predictable upgrades rather than flashy new features.
A guide to identifying deceptive 'AI snake-oil salesmen' and their red flags, contrasting them with legitimate AI practitioners.
A software developer's monthly update on his book 'Refactoring English,' covering reader demographics, sales metrics, and personal goals.
Author announces a new blog focused on software architecture, sharing knowledge and practical solutions for building adaptable software.
A speaker shares insights from a fireside chat on AI coding agents, discussing adoption stages, trust in AI output, and test-driven development with agents.
A speaker shares insights from a fireside chat on AI coding agents, stages of AI adoption, and trusting AI output in software development.
A daily tech reading list covering AI agents, code reviews, engineering teams, cloud security, and industry trends for developers and tech leaders.
An essay on how using the 'wrong' computer can spark creativity and learning, using the MacBook Neo as a starting point.
Satirical article about a fictional 'Clean Room as a Service' that uses AI to circumvent open source licensing obligations.
