Discover how professionals in various roles—from engineers to marketing leaders and developers—are leveraging AI to dramatically increase productivity, save hours, and tackle complex projects with unprecedented speed. Learn about specific use cases in information retrieval, code generation, debugging, and more.
Explore effective strategies for integrating large language models into UI development workflows, focusing on visual feedback, iterative design, and leveraging LLMs for scaffolding. Discover how to enhance productivity and achieve better UI results.
Struggling to make AI models like Codex adhere to your coding styleguide? Discover practical strategies, from leveraging automated formatters and pre-commit hooks to re-evaluating your approach to code aesthetics, to ensure your AI-generated code meets quality standards.
Explore how AI is changing software development, from the debate on code understanding to practical strategies for leveraging AI while maintaining quality. Discover why developing a strong mental model of your codebase and robust validation techniques are more critical than ever for architects and developers.
Explore the sudden surge in AI-assisted browser development, examining the motivations, challenges, and potential impact on the web's future.
Explore how developers are leveraging AI for coding, from full codebase access in production-like environments to specific model choices, while debating the true impact of "10x" productivity and the importance of tool stability. Discover practical tips and future needs for AI in software development workflows.
Explore a deep dive into whether agentic coding truly delivers net-positive results, featuring real-world experiences, practical tips for success, and a candid look at its limitations and the evolving role of developers.
Explore how AI coding impacts COBOL development, from strict formatting and compliance hurdles to its unexpected utility as a productivity tool. Discover strategies for leveraging LLMs effectively in legacy systems.
Explore how traditional diffs struggle with AI-generated code changes and discover new strategies for effective review. Learn about semantic diffing tools and snapshot comparisons to understand meaningful code evolution beyond line-level changes.
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.