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Tempo

An AI-powered IDE for product teams that turns customer feedback, issues, and requirements into reviewed pull requests, with agents doing the work while teams approve key decisions.

Tempo screenshot

Description

Tempo is an AI software factory and IDE for product teams. It turns customer feedback, issues, and product requirements into reviewed pull requests, with AI agents doing the work while the team approves the decisions that matter.

Designers, PMs, and engineers work in one IDE built on the team's real codebase. Canvases are code in the repo, built from real components and design tokens, so a design shipped from Tempo becomes a pull request rather than a throwaway mockup. Teams write specs and clickable prototypes on their real code, and agents turn raw feedback into triaged issues that can be followed as they move, with linked docs and designs a click away.

Tempo lets teams run agents on any model and in any harness, already loaded with an issue and its designs, across as many worktrees as needed, with pull request and CI status in one view. Agents can be assigned tasks like teammates, working in parallel around the clock, and Tempo is powered by coding agents including Claude Code and Codex, used with your own subscription and setup. A free tier offers 30 prompts, with paid plans available.

Tempo's Core Features

  • AI IDE that turns feedback and requirements into reviewed pull requests

  • One workspace for designers, PMs, and engineers on the real codebase

  • Canvases that are code built from real components and design tokens

  • Specs and clickable prototypes on your real code

  • Agents that triage raw feedback into issues

  • Run agents on any model across multiple worktrees

  • Pull request and CI status in one view

  • Powered by coding agents like Claude Code and Codex

How to use Tempo?

  1. Bring in your work: Connect your codebase and pull in customer feedback, issues, and requirements.

  2. Write specs and designs: Create specs and clickable prototypes on your real code, using canvases built from real components.

  3. Assign to agents: Give tasks to AI agents that draft the work in parallel across worktrees.

  4. Review and approve: Approve the decisions that matter and ship the result as a reviewed pull request.

Tempo's Use Cases

  • Feedback to pull requests
  • Design in code
  • Team collaboration
  • Parallel agent work

FAQ from Tempo

Tempo Reviews

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