Show HN: Agentic coding – a practical guide to building with coding agents (agenticoding.ai)

A new Agentic Coding Course has been announced, offering 11 comprehensive lessons aimed at enhancing developers' understanding of AI and machine learning coding practices. The curriculum covers key topics such as LLM internals, context management, and practical methodologies for prompt structure and iteration. Essential techniques like Continuous Integration (CI) integration, automated review patterns, and strategies for debugging are also included, equipping participants with tools to tackle common challenges like hallucinations and code drift. This course is significant for the AI/ML community as it bridges the gap between theory and practical implementation, emphasizing a research-focused approach to coding. It incorporates modern CLI tools designed for AI-first development, such as ripgrep and lazygit, fostering a productive coding environment. The course is versatile, offering lessons in various formats—reference docs for quick look-ups, podcasts for on-the-go learning, and presentations that facilitate team sharing. By integrating open-source tools created by the course author, learners can directly apply these methodologies to produce robust, production-ready code.