Overview
TryCase is an AI QA agent for pull requests, built by solo founder Ben Chomsang after his own parallel coding agents kept bottlenecking on local testing — ports collided, memory ran out, and branches queued up one at a time. The product installs as a GitHub App on the repositories you choose. When a PR is ready, TryCase reads the diff, picks the user journeys the change touches, opens your app in a real browser inside a disposable Linux environment (4 vCPU, 8 GB), clicks through each flow, and posts a verdict plus a captioned video and final screenshot back on the PR. On failure it states what was expected versus what actually happened.
Triggers are configurable — every push or a /trycase run comment — and you can steer a run by replying on the PR. Each run gets its own throwaway environment, so several PRs test in parallel and a new commit updates the in-progress run instead of queuing behind it. Secrets stay encrypted and never appear in logs or comments. For teams using AI coding agents in parallel, this replaces either manually clicking through the app or maintaining a brittle Playwright or Cypress suite. The pricing lever is clever: connect the ChatGPT subscription you already pay for via Codex, or supply an OpenRouter key, and a medium PR drops from about $6 to $2.50. Our evaluation rates it highly for practicality, with the caveat that it is early-stage and intended for web apps running in Linux environments.
Key Features
- PR-triggered AI testing — Install the GitHub App and every ready PR starts a run with no pipeline config.
- Journey selection from diff — Reads the changed code and tests only the affected user flows, not a whole suite.
- Disposable Linux environments — Fresh 4 vCPU / 8 GB environment per run; state never leaks between runs.
- Video and screenshot evidence — Captioned recording plus screenshot commented on the PR showing exactly what happened.
- Bring your own AI — Connect Codex via an existing ChatGPT subscription or an OpenRouter key to pay your provider directly.
- Parallel workers and live steering — Up to twelve workers per run; watch live or take over the remote desktop.
Pricing
| Plan | Price | For |
|---|---|---|
| Free | $0 | 3 testing hours/month, 1 repository |
| Starter | $19/mo | 10 hours, 3 repositories |
| Builder | $59/mo | 40 hours, 10 repositories |
| Team | $169/mo | 120 hours, 10 repositories |
A medium PR costs roughly $6 with TryCase’s managed AI or about $2.50 when you connect your own provider. Hours are shared across setup, PRs, and retries with no automatic overage charges. Pricing and credit packs are subject to change — verify on the official site.
Comparison
vs. Claude Code: Claude Code is an agentic coding tool that writes and edits code in your repo, while TryCase watches the result and proves it runs by clicking through the app. They complement each other: use Claude Code to implement, TryCase to verify before merge.
vs. Cursor: Cursor is an AI-native editor for building features fast, whereas TryCase is a verification layer that turns a PR into visual evidence. Pick Cursor for authoring; add TryCase when you need proof a change works end to end.
vs. OpenCode: OpenCode is an open-source coding agent you can self-host, while TryCase is a hosted QA service focused on PR testing. Use OpenCode to generate changes; use TryCase to validate them with recorded walkthroughs.