Operations | Monitoring | ITSM | DevOps | Cloud

Rocky, Checkly's AI agent, monitors production sites and provides an analysis for every failing check. Previously, a coding agent couldn't access this analysis, leaving incidents and agents disconnected. Now, you can access all the analyses via the Checkly CLI (or API) and tell your coding agent, "Hey, I got a Checkly alert. Please investigate!" With Rocky's structured analysis delivered inline, the coding agent can start with a strong hypothesis, fix issues, and propose a PR in one session.

Learn how the Checkly CLI uses a single function (`detectOperator()`) to detect whether the caller is a human, CI, or a coding agent by checking agent-set environment variables. This detection then changes how commands behave to provide the best agent experience.

Building Agent-Friendly CLIs: Why Your AI Agent Already Loves the Checkly CLI Stefan explains why products, docs, and CLIs must be AI-ready as coding agents rapidly become primary users of the Checkly CLI. He outlines key CLI features for agent workflows: Stefan demos how an agent initializes project-tailored Checkly setup from scratch without any human intervention and also shows how agents can entirely automate the incident life cylce from resolution to status page communication.

Most agent skills are static — frozen documentation snapshots that go stale the moment APIs change or flags get deprecated. Checkly does it differently. Our SKILL.md is just 100 lines of CLI pointers. No baked-in docs. Your coding agent learns what it needs, when it needs it, straight from the Checkly CLI.

Playwright is too hard, too slow, and too flaky — right? In this webinar, Stefan busts six common end-to-end testing myths and shows how to reuse your Playwright tests as production monitors with Checkly. He covers codegen, trace viewer, UI mode, flakiness root causes (and fixes), and a quick look at Playwright MCP for AI-assisted test generation.

50% of Checkly's CLI users are already coding agents. We predict that agents will become dominant by the end of 2026. This video demonstrates an agentic workflow where an alert reports a broken Shopify store login flow, and Claude Code, using the installed Checkly Skill and the Checkly CLI, pulls monitoring results, identifies a Playwright test failure, investigates the codebase, finds and fixes a bug, and then updates a Checkly status page by creating an incident.

Tangling DNS, TCP handshake failures, packet loss: your network has blind spots that application-level dashboards miss. In this session, Daniel Paulus (VP Engineering, Checkly) sets up DNS, TCP, and ICMP monitors from scratch and deploys them as code using the Checkly CLI. You'll see how to import checks from the UI to a code project, use coding agents to build monitors, and debug network failures with Rocky AI, trace routes, and packet captures.

Checkly introduces ICMP monitoring to complement its existing uptime and synthetic monitoring (URL/HTTP, TCP, DNS, and heartbeat checks) for systems without HTTP endpoints, such as database hosts, VPN gateways, and load balancers.

How does one of the world's leading AI companies keep its infrastructure reliable while shipping new models constantly? In this webinar, Devon Mizelle, Senior SRE at Mistral AI, shares the real story. Devon walks through how Mistral built an automated system that generates synthetic checks for every model the moment it goes live—no manual configuration, no forgotten monitors, no inconsistent alerting. Using monitoring as code, his team eliminated the toil of maintaining hundreds of checks across a rapidly evolving model ecosystem.

We've been running Playwright in production for years. Today, we, at Checkly, are going all in with Playwright Check Suites. Playwright Check Suites is our latest step towards uniting testing and monitoring into a single workflow. It's our biggest advancement yet! Here's why this matters: We're not adapting Playwright anymore. We're running it natively in production with full `playwright.config` support, complete custom dependency control, and support for every tag, spec, or configuration.