Tempo is an AI software factory aimed at product teams. Rather than treating AI as a coding assistant, it frames AI agents as the production layer that turns incoming customer feedback, issues, and product requirements into reviewed pull requests.
The core workflow connects feedback and requirements to implementation. AI agents generate the code changes and open pull requests, while the team reviews and approves the decisions that matter. This keeps humans in control of direction and quality while automating routine delivery work.
It is designed for product managers, engineering leads, and cross-functional teams that collect a steady stream of feedback and want to shorten the path from request to shipped change. Teams already using issue trackers and code review workflows will find the model familiar.
To get value, teams should define clear approval checkpoints and keep requirements well-structured so agents can act on them reliably. Tempo is best understood as an oversight-first automation layer for product delivery rather than a fully autonomous coding tool.
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