Issue Planner: Collaborative planning for teams using coding agents

CodeRabbit's new Issue Planner aims to address the evolving challenges in software development brought on by AI coding agents. Traditionally, the development process involved manual code writing and peer reviews, but AI has shifted the focus to code reviewing and testing. The introduction of AI agents has highlighted the need for effective planning, intent alignment, and prompt generation, which are now crucial for successful coding outcomes. The Issue Planner integrates with popular issue trackers to help teams collaboratively define scope, assumptions, and success criteria before coding begins. This approach seeks to enhance clarity, reduce rework, and improve AI tool adoption by ensuring that all team members have access to the same context and intent, which leads to more consistent and high-quality outputs. Through shared planning and prompt reviews, CodeRabbit aims to transform prompting from a solitary skill into a team-wide competency, thereby minimizing misalignment and improving the reliability of AI-generated code.