Explore a nuanced discussion on learning software design, covering the limits of reading code, the importance of hands-on experience, and a curated list of exemplary codebases and resources.
Discover how people are using LLMs to solve tangible problems, from replacing cluttered search engines and overcoming developer burnout to achieving life-saving medical diagnoses and automating complex tasks.
Will AI eliminate programming jobs? A deep dive into why the role is more likely to evolve towards engineering oversight, verification, and system design, rather than disappear.
Explore the debate over who's responsible for customer understanding—product managers or developers—and discover practical strategies like support rotations, including the 'why' in tasks, and observing user tests to bridge the gap.
Feeling stuck as a junior with big ideas? Learn effective strategies to voice your vision, influence project direction without formal authority, and demonstrate senior-level thinking.
Discover the best strategies for finding free AI coding assistants. Learn about the trade-offs between cloud services with limited free tiers and the powerful, cost-effective alternative of running models locally.
Feeling burnt out by the '10x engineer' culture? Discover strategies for finding a software development job with realistic expectations and a healthy work-life balance.
An analysis of why many skilled software developers are hesitant to adopt AI coding assistants, citing concerns over code quality, long-term maintainability, and the nature of their work.
Exploring alternatives to Twilio for text and voice APIs? Discover top contenders like Plivo, Telnyx, and AWS Chime SDK, and learn which is best for cost, HIPAA compliance, and enterprise scale.
An analysis of why experienced developers change their minds on foundational debates like static vs. dynamic typing, Rust vs. Go, and tabs vs. spaces, moving from dogma to pragmatism.