How to Apply Agentic Coding to Solve Problems
AI Summary: The article discusses the author's approach to problem-solving using Claude Code, emphasizing its effectiveness across various domains, including engineering, marketing, and customer management. The author outlines a three-step process: discovering and prioritizing problems, generating solutions, and executing those solutions, highlighting the importance of providing Claude Code with access to relevant data sources for optimal performance. Additionally, the article introduces the value-effort graph as a tool for prioritizing problems based on their potential impact relative to the effort required to address them. Overall, the author advocates for the integration of AI tools like Claude Code in the problem-solving workflow to enhance efficiency and effectiveness.