GitHub Copilot is an AI coding assistant that spans completion, chat, agent mode, automated code review, and a cloud agent that opens pull requests, working across VS Code, Visual Studio, JetBrains, Xcode, Neovim, Eclipse, the CLI, and github.com.
Tempo
Tempo is a desktop IDE built for whole product teams rather than developers alone. Design canvases are code in your repository, specs and prototypes run on your real components, and four named agents handle triage, specs and designs, bug fixes and feature builds.
The most expensive gap in software development is not between an idea and a design. It is between a design and the code that eventually ships.
A designer produces a mockup in a tool that knows nothing about the codebase. An engineer rebuilds it approximately, using components that exist rather than the ones drawn. Somewhere in that translation the spacing changes, a state gets forgotten, and the thing that ships is a reasonable interpretation of what was approved.
Tempo's answer is to remove the translation. If the canvas is code in your repository, built from your real components, then there is nothing to reimplement — the design ships because it was never a mockup.
Tempo: One IDE For Four Roles
- Designers, PMs, engineers and agents share one tool, working on the same real codebase rather than on parallel artefacts.
- Canvases are code in your repo, built from your real components and tokens, and they ship as a pull request.
- Four named agents: Triage, Spec and Design, Bug Fixer and Feature Builder, each owning a distinct stage.
- Agents run on any model, in any harness, across as many worktrees as needed, with PR and CI status in one view.
- A desktop application, downloadable for Windows, macOS and Linux.
Can Designers, PMs And Engineers Share One Tool?
Tempo describes itself as one IDE for the whole team, with distinct views for designers, product managers, engineers and agents, all working from the real codebase.
The technical argument is sound. Every role in product development is ultimately arguing about the same artefact, and the reason they use different tools is historical rather than necessary — a designer's tool cannot compile, so it drew pictures instead.
The organisational argument is harder, and it is where products like this usually fail. Adopting a shared IDE means a designer giving up a tool they know intimately, and a specialist tool that a specialist loves is extremely hard to displace with a general one that is merely adequate.
The realistic path is therefore partial rather than total. A team where designers keep their existing tool for exploration and use Tempo for production work — the point where a design becomes real — captures most of the benefit without asking anyone to abandon anything.
It is also worth noting who benefits most and least. Engineers gain a design that already compiles; designers give up expressive freedom in exchange for their work shipping accurately. Whether that trade is attractive depends on how often a designer currently watches their work get built wrong.
Most coding tools decline this problem entirely. Aider and Zencoder serve engineers well and have nothing to say about the designer who watched their work ship approximately.
A designer's tool draws pictures because it cannot compile. That is a historical accident, not a requirement — and it is where the expensive translation happens.
Canvases As Code Is The Real Idea
Tempo states that canvases are code in your repo, built from your real components and tokens, and that they ship as a pull request because they were never a mockup.
The consequence people underestimate is constraint. A canvas built from your actual component library cannot draw a button that does not exist, cannot invent a spacing value outside your tokens, and cannot specify a state your components do not support.
That sounds restrictive and is the entire point. Most design-implementation friction comes from designs that are subtly impossible — a variant nobody built, a layout the grid does not permit — and discovering that during implementation is the expensive moment.
It also changes what review means. A design arriving as a pull request goes through the same review as any other change, with the same CI, the same checks and the same history, rather than through a separate approval process nobody can audit later.
The limitation follows from the same property. A canvas constrained to your components is not where you explore something new, because the components for something new do not exist yet. Exploration needs a freer tool; production benefits from the constraint.
Four Named Agents And What They Own
Tempo names four agents: Triage watches feedback channels and turns ideas and bug reports into prioritised issues; Spec and Design turns triaged issues into PRDs and clickable designs; Bug Fixer reproduces a bug, finds the root cause and ships a tested pull request; Feature Builder builds a specced feature on its own branch.
Separating them by stage rather than offering one general assistant is the right design, and the reason is the same as in any workflow product: each stage has a different input, a different output and a different definition of done.
Triage is the least glamorous and probably the most valuable. Feedback arrives as Slack messages and support threads and never becomes an issue, which is why teams simultaneously have a backlog and no idea what users actually want. Converting that stream automatically is a real gain.
Bug Fixer is the most testable claim in the product. Reproducing a bug, finding the root cause and shipping a tested fix is a complete engineering task with a checkable outcome, and it is the one to evaluate first because you will know immediately whether it worked.
Feature Builder is where the caution belongs. An agent building a whole feature on its own branch produces a pull request somebody must review properly, and reviewing generated code is slower and less reliable than reviewing code a colleague wrote — because you cannot ask it what it was thinking.
Whatever the agents produce still has to clear the same gates as anything else, which is where a quality platform such as Codacy belongs — reviewing generated code is exactly what automated checks are for.
- Evaluate Bug Fixer first, since a fixed bug is a checkable outcome.
- Let designers keep their exploration tool and use Tempo for production work.
- Treat agent-generated pull requests as needing more review, not less.
- Use Triage on a real feedback channel to see what it surfaces that you missed.
- Check that canvases genuinely build from your components before committing a team.
Adopting A Shared IDE Without A Revolt
Products that ask several roles to change tools at once fail for organisational reasons rather than technical ones.
The sequence below starts where the benefit is unambiguous and the disruption is smallest.
- Start with engineers only, using the agents on an existing repository, and change nothing about how designers work.
- Run Bug Fixer on three real bugs you have already fixed, and compare its root cause analysis against what you found.
- Point Triage at one feedback channel for a fortnight and review what it surfaced against what your team caught.
- Only then bring one designer in, on one production feature rather than on exploration.
- Confirm a canvas actually builds from your real components and tokens, since that claim is the whole proposition.
- Expand by role rather than by team, and stop if the designers are working around it rather than with it.
Where A Shared Codebase Helps Most
The teams this suits are identifiable, and it is a narrower group than the positioning suggests.
The strongest case is a small product team where the same people already wear several hats. When a designer occasionally writes CSS and an engineer occasionally makes design decisions, a shared tool matches how the work already happens rather than imposing a structure.
The second is a team with a mature design system. Canvases built from real components only work if your components are real, documented and consistently used — a team whose design system is aspirational will find the constraint infuriating rather than helpful.
The weakest case is a large organisation with established, separately owned toolchains. Displacing three toolchains simultaneously is a change management project, and the benefit has to be enormous to justify one.
Model and harness flexibility — agents running on any model, in any harness, across multiple worktrees — points at teams already running agents seriously rather than experimenting. That is a specific and growing group, and it is probably who this is really for.
The far end of the same lifecycle belongs elsewhere again: once the feature ships, showing it to buyers is a demo platform's job, which is what Navattic exists to do.
Tempo: Platforms And Agents
| Product type | Desktop IDE for whole product teams |
|---|---|
| Positioning | One IDE for the whole team, powered by your real codebase |
| Roles served | Designers, product managers, engineers, agents |
| Design | Canvases are code in your repo, built from real components and tokens, shipping as pull requests |
| Product management | Specs and clickable prototypes on real code, with agents triaging raw feedback into issues |
| Engineering | Agents on any model in any harness, across multiple worktrees, with PR and CI status in one view |
| Triage Agent | Watches feedback channels and turns ideas and bug reports into prioritised issues |
| Spec and Design Agent | Turns triaged issues into PRDs and clickable designs from real components |
| Bug Fixer Agent | Reproduces a bug, finds the root cause and ships the fix as a tested pull request |
| Feature Builder Agent | Picks up a specced issue and builds the feature on its own branch |
| Platforms | Downloadable for Windows, macOS, macOS Intel and Linux |
| Site navigation | Features, Pricing, Agent+, Resources, Software factory, User Guide, X, LinkedIn, Discord, Download |
Key features of Tempo
Design canvases that are code in your repository, built from real components and tokens
Designs that ship as pull requests rather than as mockups
Specs and clickable prototypes running on your real code
Triage Agent converting feedback channels into prioritised issues
Spec and Design Agent producing PRDs and designs from triaged issues
Bug Fixer Agent reproducing bugs and shipping tested fixes
Feature Builder Agent building features on their own branches
Agents on any model in any harness, across multiple worktrees, with PR and CI status in one view
Pros & cons
Pros
7- Canvas-as-code removes the design-to-implementation translation entirely
- Constrained components make impossible designs impossible rather than expensive
- Design changes go through ordinary review, CI and history
- Four agents scoped to distinct stages rather than one assistant with four labels
- Triage addresses the gap where feedback never becomes an issue anybody sees
- Model and harness flexibility avoids locking to one agent vendor
- Native desktop builds across Windows, macOS and Linux
Cons
6- Asking three roles to change tools at once is an organisational change, not a purchase
- Constrained canvases are the wrong place for exploratory design work
- Requires a design system that is genuinely real and consistently used
- Agent-generated pull requests need more review, not less
- No operating company, location, pricing or customer references published
- Which version control, CI and design system formats are supported is unstated
Best For
- Small product teams where roles already overlap
- Teams with a mature, consistently used design system
- Organisations already running coding agents seriously
- Products where designs routinely ship as approximations
- Teams whose feedback arrives in Slack and disappears
Tempo Against Other Development Tools
Development tools differ by who they are for and how much of the workflow they claim.
| Tool | Who it serves | Scope | Best for |
|---|---|---|---|
| Tempo | Designers, PMs, engineers and agents | Triage through shipped pull request | Small teams where roles already overlap |
| Zencoder | Engineers | Coding and repair | Engineering work specifically |
| Aider | Engineers in a terminal | Git-native code changes | Developers who live in the command line |
| Codacy | Engineering and security | Quality gates on what ships | Checking code rather than writing it |
| Navattic | Marketing and sales | Demos of the finished product | The other end of the same product lifecycle |
Should Your Team Move To Tempo?
Move the team when
- You are a small product team where the same people already wear several hats.
- Your design system is real, documented and consistently used.
- Designs regularly ship as approximate versions of what was approved.
- You already run coding agents seriously rather than experimentally.
- Feedback arrives in Slack and never becomes an issue anybody sees.
Stay with your tools when
- You are a large organisation with three established, separately owned toolchains.
- Your design system is aspirational, which makes canvas constraints infuriating.
- Your designers do exploratory work that constrained components cannot express.
- Nobody will review agent-generated pull requests properly.
- The team has no appetite for a change management project.
Verifying What Tempo Ships
Last checked . Read from tempo.new in a browser session, with the screenshot above captured alongside.
- Positioned on the site as one IDE for the whole team, powered by your real codebase
- Roles addressed confirmed as designers, product managers, engineers and agents
- Canvases stated as code in your repo, built from real components and tokens, shipping as pull requests
- Specs and clickable prototypes on real code confirmed for product managers
- Agents confirmed as running on any model, in any harness, across multiple worktrees, with PR and CI status in one view
- Triage Agent confirmed as watching feedback channels and turning ideas and bug reports into prioritised issues
- Spec and Design Agent confirmed as turning triaged issues into PRDs and clickable designs from real components
- Bug Fixer Agent confirmed as reproducing a bug, tracking the root cause and shipping the fix as a tested pull request
- Feature Builder Agent confirmed as building a specced feature on its own branch and opening a PR
- Desktop downloads confirmed for Windows, macOS, macOS Intel and Linux
- Site navigation confirmed for Features, Pricing, Agent+, Resources, Software factory and User Guide, with X, LinkedIn and Discord links
What we could not confirm: the operating company's legal name or location, neither of which appears on the pages we read; pricing and what Agent+ includes; which version control platforms and CI systems are supported by name; which design system formats or component libraries canvases can build from; whether the product works with an existing Figma or similar workflow; how code and repository data are handled; and any customer references. We did not use the product, so nothing here reflects tested behaviour.
Editor's Verdict
4.0/5Tempo's central idea is genuinely strong: a design canvas that is code in your repository, built from your real components and tokens, so a design ships as a pull request rather than as a mockup someone then rebuilds. That closes the most persistent and expensive gap in product development, where a design is approved and then re-implemented approximately. The four named agents are correctly scoped to distinct jobs rather than being one assistant with four labels. It scores where it does because asking three roles to adopt one tool is an organisational change, and organisational changes fail far more often than software does. AInexfinder Editor Score: 4.0/5.
Tempo pricing
AInexfinder does not list plan prices or billing details. For current pricing, plans, and trials, visit the official Tempo website.
Visit official website for pricingVendor pricing, credits, and billing policies change over time. Always confirm on the official site before you buy.
Frequently asked questions
What is Tempo?
What does canvases are code actually mean?
Why is constraining designs to real components a good thing?
What are the four agents?
Which agent should I evaluate first?
Will designers actually adopt it?
Do I need a design system for this to work?
What does model and harness flexibility mean?
Should agent-written pull requests be reviewed differently?
Which platforms does Tempo run on?
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Reviewed by Daniel Reed
Assigned reviewer
Daniel ReedSenior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
Daniel and the AInexfinder editorial team research Tempo using public product information, listing evidence, and (when available) hands-on checks. Scores reflect listing completeness and transparency — not paid placement.
- Last verified
- Methodology
- How we review AI tools
- Sources used
- tempo.new
- AInexfinder listing fields (features, pros/cons, description)
- Public vendor pages when available
- Editorial policy
- Listings may include affiliate or sponsored placements, which are labeled when present. Editorial scores and cons are not sold. See our affiliate disclosure and review methodology.

