Explore diverse predictions on the future of software development jobs in five years, focusing on AI's influence, the evolving skill landscape, and the critical importance of continuous learning.
Learn why public code sharing is crucial for junior developers, how to mitigate plagiarism fears with licenses, and practical strategies to overcome the anxiety of showing your work.
Discover how experienced software developers can effectively transition into AI development by focusing on practical application building, leveraging existing models, and mastering essential prompt engineering techniques.
An analysis of how software engineers are truly feeling about AI tools, exploring the deep divide between reported productivity boosts and the frustrating reality of debugging AI-generated 'slop'.
Discover how professionals from backgrounds in philosophy, history, and the arts built successful careers in tech. Learn from their stories, entry strategies, and advice for navigating today's competitive landscape without a traditional STEM degree.
Struggling to get your personal project noticed? Learn why aggressive promotion often backfires and discover sustainable, authentic strategies to build an audience for your work over time.
Developers discuss the real risk of skill erosion from using AI copilots and share practical strategies, like the 'intern' mental model, to leverage AI's speed without sacrificing deep understanding.
Veteran developers argue that AI is a tool that amplifies expertise, not a replacement for it. Discover why senior developers are thriving with AI and the critical risk this trend poses to the future of the software industry.
A Hacker News discussion explores why many programmers still prefer 'old-fashioned' coding without LLMs, citing joy, understanding, and learning concerns. Is AI-free coding obsolete or essential?
Feeling stuck for a new project? Explore diverse idea generation strategies shared by developers, from solving personal pain points and observing real-world problems to more unconventional methods.