Explore strategies used by software engineers to combat skill atrophy and stay relevant, from building side projects to focusing on health, soft skills, and financial security.
Feeling underwhelmed by AI's impact on your coding productivity? Discover the specific strategies and targeted use cases that developers are using to achieve real gains, moving from hype to helper.
Developers discuss the pros and cons of open-sourcing projects when code can be used to train LLMs. Explore arguments about the value of code, intellectual property, and the core philosophy of open source.
Developers and tech enthusiasts discuss the implications of leading LLMs being proprietary, debating historical precedents, the viability of open-source alternatives, and the future of this transformative technology.
Explore a range of controversial developer opinions, including unique programming font choices, debates on Rust's DX, AI's role in coding, and the true meaning of 'software engineer'.
Discover the most admired historical figures in computer science, from Ada Lovelace and Alan Turing to Donald Knuth and Lynn Conway, and the reasons for their enduring legacies.
Considering a switch to a Linux laptop as Intel Mac support ends? Explore the current state of hardware compatibility, popular distributions, and the developer experience on Linux.
Exploring whether programmers are truly lagging if they're not using AI for coding. This discussion offers diverse developer viewpoints, practical tips for AI adoption, and concerns about skill preservation.
Discover how companies are adapting their hiring processes for software engineers in the age of LLMs, shifting focus from coding to engineering, problem-solving, and AI tool utilization.
An analysis of the debate surrounding the perceived devaluation of 'Senior Software Engineer' titles, exploring issues of skill dispersion, lack of standardization, and the evolving definition of seniority in the tech industry.