A new guide/blog for those ramping up on agentic coding (contalign.jefflunt.com)

A new guide has been introduced for those looking to enhance their collaboration with increasingly autonomous AI systems, outlining a process called Continuous Alignment. As AI evolves to take on more complex tasks, it’s crucial for users to shift their approach from simply querying these systems to collaborating with them as intelligent partners. Continuous Alignment promotes a structured methodology that prioritizes mutual understanding between humans and AI right from the outset, minimizing errors and improving execution outcomes. The guide delineates several key steps, starting with articulating a high-level idea and providing relevant context for the AI. Users are encouraged to actively engage the AI by inviting questions and suggestions, followed by an essential alignment check, where the AI summarizes the discussed concept. This iterative process is designed to refine the shared understanding until both parties are aligned before implementation begins. With an emphasis on saving the final plan and documenting the collaborative learnings for future projects, Continuous Alignment not only seeks to enhance current interactions but also lays a stronger foundation for future AI collaborations, making it a significant advancement in human-AI engagement strategies.