Explores how AI language models shift a programmer's role from writing code to managing context and providing detailed specifications.
A developer shares key engineering lessons learned from building AI agents in .NET, focusing on state management, orchestration, and observability.
An experienced engineer shares lessons from writing and self-publishing a bestselling tech book after a 4-year journey, including pitching to publishers.
A developer discusses why AI matters, addressing common fears of hype and job loss while highlighting real productivity benefits for software engineers.
Analysis of Amazon's recent 14,000 layoffs, exploring whether AI or economic factors are the primary cause behind the job cuts.
A Principal Engineer compares interview processes at 8 major tech firms, detailing coding, system design, and behavioral rounds.
A software engineer shares his AI-accelerated development workflow using CursorAI and ai-devkit to speed up the traditional software engineering process.
A critique of homogenized IT content on platforms like LinkedIn, arguing for more original and insightful industry discourse.
Martin Fowler explains 'Expansion Joints', a technique for dynamically adjusting presentation length by using optional, flexible content segments.
A software engineer reviews the book 'The AI Con', discussing its critical perspectives on AI's societal and environmental impacts.
A guide on advancing your software engineering career by shifting from solving defined problems to identifying the right business problems to solve.
A study reveals AI tools like Cursor may slow developers down by 19%, despite their perception of increased productivity.
A software engineer outlines three stages of engineering experience, from beginners learning from mistakes to experts anticipating problems.
Analysis of the US Section 174 tax change reversal and its impact on software engineer hiring and the tech industry.
Article argues that developing the right mindset is more crucial for career advancement than simply chasing a new job title in tech.
Martin Fowler shares three articles on Gen AI's impact on developers and reflections on meaningful work.
Explores how pattern matching in programming relates to the mental patterns experienced software engineers use to solve problems efficiently.
Explains the differences between Machine Learning and Generative AI, with examples and industry applications.
A tech team's story of pivoting from a CI cost tool to a CI reliability product, only to realize they built great tech but not a viable product.
A critique of overly detailed Git commit messages, arguing that while entertaining, they may not represent best practices for software engineering.
