Explores the growing divide between AI-native individuals who embrace AI tools and those who dismiss them, arguing it's a critical future split.
Analysis of AI productivity claims, questioning the lack of holistic data and the hidden costs of AI adoption in business.
Analysis of contradictory frames on AI adoption speed in companies, balancing hype vs. reality and human roles.
Anthropic's run-rate revenue hits $47 billion, highlighting rapid growth and enterprise adoption in the AI industry.
Explores the difference between simply using AI and achieving AI maturity, focusing on real outcomes and disciplined integration.
Analysis of why most companies struggle with AI adoption due to unclear goals and lack of organizational readiness.
Analysis of weak vs. strong enterprise AI rollouts, highlighting the importance of solid guidance and practical examples over vague mandates.
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 guide for engineering leaders on preparing their teams and organizations for the challenges and opportunities of AI adoption in software development.
A passionate argument for embracing AI in tech careers, addressing skepticism and highlighting its transformative impact on software development.
Thoughtworks retreat findings challenge AI's threat to junior devs, highlighting their value and the real challenge of retraining mid-level engineers.
A daily tech reading list covering AI adoption, Rails 8, Heroku, Gemini 3, GitHub Actions, LangChain4j, and industry trends.
A daily tech reading list covering AI adoption, technical debt, new developer tools, and industry trends from Google, Anthropic, and more.
Mitchell Hashimoto shares unconventional tips for effectively integrating AI coding agents into a developer's workflow to boost productivity.
Mitchell Hashimoto shares unconventional tips for integrating AI coding agents into a developer's workflow to boost productivity.
A software engineer's measured journey from AI skepticism to practical adoption, outlining six key steps for integrating AI agents into development workflows.
Will Larson discusses the three key pillars for successful AI adoption in companies: domain context, AI tooling experience, and IT infrastructure.
The author argues that 2025 marks AI's transition from experimental tech to mainstream, foundational technology in developer tools, similar to cloud computing's shift in 2010.
Argues that AI in software development should focus on automating non-coding tasks like meetings, docs, and testing, not just speeding up coding.
