Tips and best practices for working with AI coding agents (www.vibekanban.com)

A new guide has emerged outlining effective strategies for collaborating with AI coding agents, highlighting the importance of planning, maintaining code quality, and improving efficiency in development workflows. It emphasizes the need for a structured approach where planning precedes coding, allowing developers to optimize the shape of their code before it's solidified. By utilizing asynchronous workflows and features such as "YOLO mode," developers can harness the full potential of coding agents while managing multiple tasks concurrently, thus reducing procrastination. Key technical insights include the recommendation to set up environments that facilitate code testing by coding agents, thereby minimizing unnecessary manual intervention. The guide also addresses common challenges, such as handling port conflicts in development servers and setting strict linting rules to prevent coding agents from making lazy decisions, like disabling linter errors. By separating presentation from logic in frontend development and enforcing design consistency through tools like ESLint and Tailwind CSS, developers can create cleaner, more maintainable codebases that are easier for AI agents to work with, ultimately leading to faster development cycles and higher code quality.