What is TryCase?

TryCase is a tool that gives AI coding agents disposable Linux environments to run applications, perform end-to-end testing, and return verified results. Instead of asking you to manually test changes, TryCase lets your agent run the app like a real user, capture screenshots and recordings, collect logs, and send back proof that the code works. The entire environment is destroyed after each test, keeping your workflow clean and secure.

Who it's for

• Developers using AI coding agents – want their agent to test code changes automatically instead of manually verifying every output.
• Teams shipping fast – need to reduce the back-and-forth between writing code and confirming it works in a real environment.
• Anyone tired of "it works on my machine" – want a consistent, disposable Linux desktop where the agent can run and test the app without affecting local setup.

Key features

One-command skill installation

Install TryCase skills in your coding agent session with a single npx command. The skills teach Claude, Codex, Cursor, or any compatible agent how to use TryCase, so you don't need to configure anything manually.

Disposable Linux desktop

Each test runs in a fresh Linux environment with terminal and browser control. The agent can start your app, interact with it like a user, and capture the results. Once the test is done, the environment is destroyed — no leftover files or state.

Proof in screenshots, recordings, and logs

Instead of just returning code, the agent sends back visual proof: screenshots of the running app, screen recordings of interactions, and detailed logs. You can review exactly what happened without running anything yourself.

Fallback to CLI docs

If the skills aren't available in a session, TryCase provides a documented CLI workflow at trycase.dev/docs. The agent can fall back to the CLI, log in, and run tests using the same disposable environments.

What stands out

"One prompt in, proof out."

TryCase shifts the burden of testing from you to your agent. You don't need to switch contexts, open a browser, or manually click through your app. The agent does the full loop — runs the code, tests it like a user, and returns verified artifacts. That single prompt replaces minutes of manual verification and eliminates the "I'll test it later" gap.

Worth checking out if…

You use AI coding agents and want them to deliver tested, working code instead of untested outputs. If you're tired of manually running every change to confirm it works, TryCase gives your agent the environment it needs to prove the work before you review it.