The article outlines how to effectively integrate AI tools into a software development workflow. It emphasizes breaking down tasks, managing context, and refining approaches to leverage AI for better productivity. The author shares practical strategies and a structured cycle for using AI effectively in coding.

This article outlines effective strategies for using coding agents in software development. It covers the importance of planning, managing context, and customizing agent behavior through rules and skills. Additionally, it highlights common workflows and how to extend agent capabilities for better results.

The article discusses the shift from traditional software models that focus on discrete objects to new models centered on timelines of actions, called Systems of Action. This change emphasizes the need for software that actively tracks and manages workflows, leveraging AI to enhance user experience and efficiency.

The article discusses advancements in coding efficiency using AI agents, particularly focusing on improvements from GPT 5. It highlights a shift in the author's workflow, emphasizing reliance on AI for coding and the reduced need for manual intervention. The author compares different AI models and shares insights on their impacts on software development.

The article discusses the concept of ticket-driven development, highlighting its benefits and drawbacks in software project management. It emphasizes the importance of using tickets to track work and maintain organization, while also warning against the potential for over-reliance on ticketing systems that can stifle creativity and flexibility.