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The term 'vibe coding' has emerged to describe AI-assisted programming, but what does it really mean? Explore the debate between relying on AI intuition and using structured, specification-driven approaches for maximum productivity.

Will AI empower a new generation of freelance entrepreneurs, or will it create a boom in full-time jobs dedicated to fixing AI-generated code? Explore the competing visions for the future of tech work.

As AI coding assistants become more prevalent, many developers express sadness about losing the creative aspects of their job. This analysis explores the debate, from fears of becoming a bored reviewer to the pragmatic view of AI as a tool for automating tedious tasks.

Experienced software engineers discuss the real impact of AI on their careers, offering practical advice on how to adapt, specialize, and find meaning beyond the hype.

Developers debate the C programming language, weighing its unparalleled control and proximity to hardware against its notorious lack of safety and the modern alternatives that prioritize productivity and security.

Discover how tech professionals' perspectives on AI have shifted from initial skepticism to practical application. Learn how they leverage it as a tool for specific coding tasks while remaining cautious about its hype and limitations.

Feeling burnt out by AI hype and meaningless projects? Explore strategies for senior software engineers to find fulfillment by changing their industry, not their profession.

Stuck on a bug with unclear documentation? Discover a developer's workflow for solving tough problems by exploring source code, trying alternative approaches, and crafting effective support tickets.

Developers are concerned that AI tools like Copilot may weaken their critical thinking. Explore practical strategies to balance AI-driven productivity with maintaining your core problem-solving abilities.

Developers discuss the real-world impact of AI on their careers. The consensus points to a shift from writing code to high-level engineering, system design, and managing AI-generated complexity.