Discover how developers are leveraging AI to boost productivity, automate code generation, and ensure quality through advanced testing strategies and high-level specification. Explore tips for rapid prototyping and adopting new tech stacks with AI assistance.
Uncover how AI tools are reshaping software engineering productivity, from enabling new projects to creating unexpected challenges, and gain insights from real-world professional experiences.
Explore diverse definitions of legacy code, from its practical challenges like missing tests and lost knowledge to actionable strategies for working effectively with older codebases.
Explore the fascinating elements that have defied change over the past decade, from foundational software concepts and daily rituals to the enduring aspects of human behavior and societal structures. Discover the subtle differences between superficial updates and fundamental transformations.
For software engineers, understanding when to build from scratch and when to use AI is crucial. This article provides a strategic approach to integrating AI tools while mastering core development skills to build robust and maintainable projects.
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.
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.
Developers share their go-to message queues, discussing trade-offs between Kafka, RabbitMQ, NATS, Redis Streams, SQS, Postgres, and others. Key themes include operational simplicity, queues vs. streams, and real-world experiences.