Discover effective strategies for assessing developers who leverage AI coding tools in interviews. Learn how to evaluate prompt engineering, critical thinking, adaptability, and real-world problem-solving skills in the age of AI.
Explore how developers are building database-backed websites using AI coding assistants like Claude Code, detailing effective workflows and popular technology stacks. Learn about the iterative process of planning, reviewing, and refining AI-generated code for rapid development.
Considering a career switch from software to mechanical, civil, or robotics engineering? Explore the challenges of credentials, skills gaps, compensation, and the unique benefits of building the physical world.
Explore the challenges and productive uses of AI in software development, from managing low-quality generated code to leveraging LLMs for TDD and workflow optimization. Discover how developers are adapting to maintain code quality and boost productivity with AI tools.
Deciding between a lucrative software engineering role at a major tech company and an advanced degree for specialized fields like Machine Learning or Robotics? Discover strategies for career pivots, managing expectations for passion-driven jobs, and finding long-term fulfillment.
Discover common developer experiences with AI coding assistants and learn key strategies to significantly improve the acceptance rate of code suggestions. Master the art of prompting and iterative refinement to get production-ready code faster.
Explore the heated debate on whether developers have devalued their own profession through bootcamps, open source, and accessibility, or if these are simply natural progressions of a rapidly evolving field.
Discover why developers venture into creating custom text editors, the hidden complexities, and the rewarding experiences of crafting a personalized coding environment.
Explore the unexpected reality that AI coding agents may be increasing developer workload and expanding project scope, rather than replacing jobs. This analysis delves into the shift from coding to complex thinking and the evolving demand for software engineering skills.
Explore why modern software development projects often face delays despite growing teams, examining the impact of over-engineering, evolving team roles, and the compelling debate around licensing software engineers.