A practical exploration of how classic software design patterns come together to create a flexible, human-in-the-loop agent workflow that monitors websites and automates social media posts.
Explore how eliminating conditional statements can lead to cleaner, more maintainable code through polymorphism, functional programming, and data-driven approaches.
Research suggests microservices may be more suitable than monorepos for AI coding tools, especially with large projects, due to LLM context window limitations.
Exploring why core software engineering principles like design, testing, and maintainability are becoming even more critical for managing complexity and risk in the age of AI-powered code generation.
Learn how to craft effective AI prompts that reduce hallucinations and deliver accurate results from platforms like Grok, with practical tips on context management and prompt engineering.