port22 vs TryCase: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of port22 and TryCase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
port22
port22
Mobile remote for AI coding agents — pair your phone with a Mac companion and drive Claude Code, Codex, or OpenCode from anywhere.
Key features
- Attach to a Live Session: Drives the agent session you already started in your terminal rather than spawning a fork or shadow instance.
- Multi-Agent Support: Works with Claude Code, Codex, and OpenCode today, with OpenClaw and Hermes on the roadmap.
- Live Token Streaming: Reads every token the agent produces as it thinks, edits files, and runs commands, streamed to your phone in real time.
- Push Approvals: Sends a push the moment an agent finishes or needs input so you can approve or answer without opening the app.
- Dynamic Island & Lock-Screen Status: Shows a live count in the Dynamic Island and the full session roster on the lock screen.
- iCloud Pairing: Same Apple ID on Mac and iPhone auto-pairs devices — no new login and no QR code scanning.
- LAN-First with Encrypted Relay: Uses the local network at your desk and falls back to an end-to-end-encrypted relay when remote, keeping code off port22 servers.
Best for
- Approve Long-Running Agents on the Go: Kick off a Claude Code refactor and approve intermediate steps from your phone during commute or errands.
- Monitor Overnight Runs: Watch an agent's live transcript from bed or a meeting without returning to the desk.
- Cross-Room Development: Continue a coding session from the couch while the actual model, tools, and repo stay on the Mac.
- Multi-Session Oversight: Track several parallel agent sessions from one phone view instead of tab-switching on the Mac.
- Remote Debugging Assist: Read an agent's reasoning stream from a client site or coffee shop before deciding whether to intervene.
TryCase
TryCase
An AI QA agent that opens your app on every pull request and posts a verdict, captioned video and screenshot back to GitHub.
Key features
- PR-Triggered Runs: Connecting a repository is enough - every pull request marked ready for review starts a test run with no pipeline config.
- Journey Selection From Diff: TryCase reads the changed code and chooses which user flows are actually affected rather than replaying a whole suite.
- Disposable Linux Environments: Each run gets a fresh environment with terminal and browser control, so state from earlier runs never leaks in.
- Video and Screenshot Evidence: Results arrive as a captioned recording plus a screenshot commented on the PR, showing exactly what the app did.
- Bring Your Own AI: Connect Codex through an existing ChatGPT subscription or supply an OpenRouter key and pay your provider directly for inference.
- Agent Skills: Packaged skills teach Claude, Codex, Cursor and other compatible agents to drive TryCase environments without manual setup.
- Parallel Workers: Up to twelve workers per bot run journeys concurrently, with testing time tracked separately for setup, the primary bot and each worker.
- Usage-Based Hour Pools: Monthly plans grant a shared pool of end-to-end testing hours across setup, PRs and retries, with no automatic overage charges.
Best for
- Pre-Merge Verification: Confirm a checkout or signup flow still works before approving a pull request, without pulling the branch locally.
- Visual Regression Review: Catch layout and rendering breakage that unit tests pass over by watching the recorded walkthrough.
- Agent-Written Code Review: Require an AI coding agent to return screenshots and recordings proving its change runs, not just a diff.
- Suite-Free E2E Coverage: Give a small team end-to-end coverage without staffing the maintenance of a Playwright or Cypress suite.
- Demo Clips From Branches: Reuse the captioned videos as short product demos of a feature still sitting on a branch.
- Release Triage: Scan verdicts across several open PRs to decide which changes are safe to batch into a release.
