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AI-Powered Monitoring with Checkly

Most monitoring tools weren't built for the AI-first world. By nature, traditional monitoring platforms force you out of your natural coding environment and trap you in clunky web interfaces, brittle configuration panels, and rigid APIs. And sadly, when monitoring providers do offer "AI features," it's usually a chatbot bolted onto their existing UI, being nothing more than a pale imitation of the AI tools you’re reading about every day on Hacker News. All this creates friction.

Custom Alerts in Checkly

Learn how to customize your alerts in Checkly to get only the notifications you need. This video walks through account-wide alert settings, managing alert channels, using groups for business-critical checks, and leveraging Monitoring as Code to manage everything from your IDE. Plus, see how to use the Checkly CLI to import existing checks from the UI into code for full version control and automation.

Generating Playwright Tests With AI: Let's Try the New Playwright MCP Server!

In this video, Stefan (Playwright Ambassador) dives into the integration of AI with the Playwright MCP server to automate end-to-end test generation. Learn about MCP, browser automation and how to combine everything to generate Playwright tests. We'll explore AI capabilities and limits and discuss best practices for generating accurate and reliable Playwright tests. If you're curious about leveraging AI for end-to-end testing with Playwright, this video is for you!

Monitoring for Financial Services: Reducing Costs, Ensuring Reliability

Fintech has reshaped financial services, using technologies like machine learning and blockchain to deliver faster, smarter, more user-friendly experiences. Challenger banks, open banking apps, digital payments, and investment apps have set a new standard—leaving traditional institutions racing to keep up. But staying competitive isn’t just about building digital products—it’s about making them reliable.