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Put the AI assistant to work on every task. Context-aware AI agents reference your product development data to rapidly generate relevant responses. Start from a library of proven AI prompts or create your own. Use AI consistently across the team to achieve the best result.
Use AI to break down product features into technical requirements — quickly defining user stories, acceptance criteria, and test plans. Then, estimate the effort needed to do the work based on the technical complexity. Ask the AI assistant to review the backlog for missing details before team planning sessions to ensure everything is ready.
Create a sprint-ready plan in minutes. Ask the AI assistant to prioritize the backlog based on urgency, impact, and team capacity. Explore different scenarios — factoring in dependencies and sequencing across features — to land on the best way to tackle the work. Adapt as needed and then auto-assign work to the right sprint.
Spin up prototypes with AI to validate how new functionality should work. Connect Aha! Develop directly to AI coding tools — like GitHub Copilot, Cursor, and Claude Code — or use the Aha! Model Context Protocol server. Quickly generate code that aligns with product features and requirements while you tackle other tasks.
Save time documenting technical information. Work with the AI assistant to draft everything from architectural frameworks to runbooks and meeting agendas. It can also generate visual diagrams to illustrate complex concepts. Store everything in a central information hub, leveraging AI‑powered search to quickly find information.
Identify opportunities to improve team performance. Ask the AI assistant to review agile data — including the burnup chart, cycle and lead time, and workflow heatmap — to understand where work is getting held up and why. Get actionable recommendations on how to address bottlenecks and boost efficiency.