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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 logo

port22

port22

Freemium

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.
View port22 details
TryCase logo

TryCase

TryCase

Paid

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.
View TryCase details