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.
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.
