Papercuts Review
Ever wish you had an army of tireless, digital users stress-testing your app 24/7? Enter Papercuts, the ingenious tool designed for the modern web. Papercuts empowers you to Test In Production by deploying intelligent AI agents that mimic real user behavior directly on your live application. Say goodbye to those dreaded “works on my machine” moments and uncover hidden bugs before your actual users do.
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Main Features
- AI Agent Types:
- Deterministic Agents: Precision-guided for critical paths. Describe a goal in simple English, like “Add a $20 bag to cart and checkout,” and the agent handles the rest.
- Exploratory Agents: Autonomous discovery. Just provide the URL, and these agents roam your application like a curious user, clicking, scrolling, and uncovering elusive edge cases.
- Seamless Integration: No SDKs, no code changes. Papercuts injects a fleet of headless browsers into your environment, interacting exactly as a user does.
- Semantic UI Understanding: Our agents “see” the UI, not just code. They understand the UI semantically, adapting to layout shifts without breaking tests.
- Comprehensive Reporting: When a break occurs, you receive an immediate email notification with a detailed report, including high-resolution screenshots, network logs, and deep agent reasoning.
| Plan | Details |
|---|---|
| Free | 20 Actions, 3 Test Flows, Deterministic Agents Only |
| Pro | $5/mo, 500 Actions, Unlimited Flows, Deterministic & Exploratory Agents |
Who is it for?
Papercuts is a game-changer for any team committed to delivering a flawless user experience. It’s ideal for:
- Developers: Catch those infuriating full-stack rendering bugs that only surface in a live environment.
- QA Engineers: Expand your testing coverage beyond traditional staging, finding real-world issues and edge cases.
- Product Managers: Ensure your features consistently work as intended for your users, maintaining product integrity.
- SaaS Companies: Protect your reputation and reduce churn by proactively identifying and resolving critical production issues where it matters most.
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