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Where TaskTrooper fits next to the tools you already know
App builders make a new app for you to prompt. Agent IDEs give your engineers more hands. TaskTrooper takes your backlog and answers for the result in production.
Side by side
Lovable builds a new app for you to keep prompting. Orca gives your engineers many agents to drive. TaskTrooper takes your backlog and delivers each ticket tested, deployed and watched in production.
| Dimension | TaskTrooper | Lovable | Orca |
|---|---|---|---|
| What it is | A software team delivered as software: role agents that plan, build, review, test, deploy and run your product | A browser-based AI app builder | An IDE that runs many agent CLIs side by side, one git worktree per task |
| Built for | Companies whose backlog outgrew their team | Anyone with an idea, including non-developers | Engineers who want to drive several agents at once |
| Starting point | Your existing repositories and stack | A new project inside Lovable | Any repository you open |
| Who starts the work | Your backlog: a ticket entering a column is picked up by that column's agent | You, one chat message at a time | You, per worktree and prompt |
| Platforms | Web, backend, iOS and Android, data science, games | Websites and web apps | Whatever the agent can build |
| QA | A separate QA agent runs every ticket against its acceptance criteria: real requests, headless browser, simulators | You try it in the preview | Whatever the agent runs; embedded browser |
| After merge | Deploy through your pipeline, smoke checks, rollback, incidents from Sentry, Alertmanager or webhooks, App Store and Play releases | Hosting on Lovable's cloud | None; the workflow ends with the pull request |
| Your role | Accept or send back the result | Keep prompting until it is right | Prompt, review the diff, commit |
| License and price | Apache-2.0 and free for one person; teams pay per seat | Proprietary; credit-based, free daily allowance | MIT, free |
One page per project
Every page is the same shape: what the other tool is, a dimension-by-dimension table, and when you should pick which.
