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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Enables AI agents to autonomously test applications end-to-end, saving developer time
Biggest con
Requires integration with a coding agent, adding setup complexity
TL;DR - TryCase
- Coding agents get a disposable Linux desktop to run and test apps like a real user.
- Captures proof of test results: screenshots, video recordings, and logs.
- Supports iterative testing where the agent fixes failures and retests automatically.
Pricing: Free plan available
Best for: Growing teams
What is TryCase?
TryCase provides disposable Linux desktop environments that coding agents can use to run and test applications. It allows agents to launch an environment, upload a repository, execute commands, open a browser, interact with the UI, and capture proof in the form of screenshots, recordings, and logs. The tool is designed to integrate with coding agents, enabling automated testing and iteration until a flow passes. It is ideal for developers who want to delegate end-to-end testing to their AI agents, receiving visual and log-based evidence of test results.
Pros & Cons
Pros
- Enables AI agents to autonomously test applications end-to-end, saving developer time
- Provides rich proof (screenshots, video, logs) for test results
- Flexible environment sizes and modes to match workload requirements
Cons
- Requires integration with a coding agent, adding setup complexity
- Usage-based pricing can be unpredictable for heavy usage
Key Features
Launch disposable Linux environments with configurable OS and resourcesUpload repositories and execute arbitrary commands (e.g., install dependencies, run dev servers)Open a browser within the environment and interact with web pages (click, fill forms, etc.)Record test sessions as video and capture screenshots as proofTail logs from the environment for debuggingIterative retesting: agent can fix failures and re-run the test flow automaticallyIntegrates with coding agents via skills or CLIMultiple environment sizes (Nano, Small, Standard, Large) with varying CPU, RAM, and disk
Pricing Plans
Pricing checked Jul 5, 2026
Free
Free
- 150 credits ($0.15 compute)/month
- 2.25h nano headless included
- Headless only (desktop on paid plans)
- 3 active environments
- 30m max duration
Pro
$19 / month
- 19,000 credits ($19 compute)/month
- 285h nano headless included
- 190h nano desktop included
- 5 active environments
- 120m max duration
Max 5x
$79 / month
- 79,000 credits ($79 compute)/month
- 1,186h nano headless included
- 791h nano desktop included
- 15 active environments
- 120m max duration
Max 20x
$199 / month
- 199,000 credits ($199 compute)/month
- 2,988h nano headless included
- 1,992h nano desktop included
- 30 active environments
- 120m max duration
Team
$399 / month
- 399,000 credits ($399 compute)/month
- 5,991h nano headless included
- 3,994h nano desktop included
- 50 active environments
- 120m max duration
How TryCase's pricing compares
At $19/mo, TryCase is mid-range of its 4 direct competitors ($10 to $500/mo across the set).
Entry paid plan, monthly. Pricing checked Jul 5, 2026.
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TryCase FAQ
How does TryCase help developers delegate end-to-end testing to AI agents?
TryCase provides disposable Linux desktop environments that coding agents can use to run and test applications. An agent can launch an environment, upload a repository, execute commands, open a browser, interact with the UI, and capture proof in the form of screenshots, recordings, and logs, enabling automated testing and iteration until a flow passes.
Which teams benefit most from using TryCase?
Teams of developers who want to delegate end-to-end testing to their AI agents benefit most from TryCase. It is ideal for those who need automated testing with visual and log-based evidence, reducing manual testing time.
How does TryCase compare to Devin for AI-powered testing?
TryCase focuses specifically on providing disposable desktop environments for running and testing applications with AI agents, whereas Devin is a broader coding agent that includes development and testing capabilities. TryCase is designed to integrate with existing coding agents for automated testing, while Devin operates as a standalone AI software engineer.
What are the main limitations or trade-offs of using TryCase?
TryCase requires integration with a coding agent, which adds setup complexity. Additionally, its usage-based pricing can be unpredictable for heavy usage, as costs scale with the number of environments and commands executed.
How is TryCase priced?
TryCase is available on a free tier, with paid plans offering more usage and features. The pricing is usage-based, meaning costs depend on how many environments, commands, and testing workflows are used.
Can TryCase provide visual evidence of test results?
Yes, TryCase captures proof of test results in the form of screenshots, recordings, and logs. This allows developers to see exactly what the AI agent observed during testing, including UI interactions and command outputs.
Does TryCase integrate with existing coding agents like GitHub Copilot?
TryCase is designed to integrate with coding agents, enabling them to launch disposable Linux desktop environments for automated testing. While it works with agents like GitHub Copilot, the setup requires connecting your agent to TryCase's environment provisioning system.
What kind of users can get the most value from TryCase's flexible environment sizes?
Developers working on applications with varying resource demands get the most value from TryCase's flexible environment sizes and modes. This allows matching the testing environment to workload requirements, such as using larger environments for complex UI tests or smaller ones for simple command runs.
Source: trycase.dev