Add ai learn article #117
Add ai learn article #117
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Pull request overview
This PR adds a comprehensive guide on using AI agents to configure Checkly monitoring infrastructure, based on a recent webinar. The guide demonstrates how to leverage Checkly's Monitoring as Code approach to create, configure, and manage monitoring through conversational prompts.
Key changes:
- New comprehensive guide (
guides/agentic-workflows.mdx) covering AI-driven monitoring configuration - Updated YouTube video reference and added link to the new guide in the AI integrations overview
- Fixed navigation links from
/resolve/rocky-ai/overviewto/resolve/error-analysis/overview
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| guides/agentic-workflows.mdx | New 502-line guide demonstrating how to use AI agents (Claude Code, Cursor, GitHub Copilot) to set up uptime monitoring, API checks, and Playwright synthetic monitoring using Checkly's Monitoring as Code approach |
| integrations/ai/overview.mdx | Updated YouTube video ID to the latest webinar recording and added reference link to the new agentic workflows guide |
| resolve/overview.mdx | Updated Rocky AI navigation links to point to the correct /resolve/error-analysis/overview path |
| docs.json | Added "AI and LLMs" section to Guides navigation with the new agentic-workflows page, and removed trailing blank line |
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guides/agentic-workflows.mdx
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| ``` | ||
| Can you set up an API check for /api/products? | ||
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| Please analyze the code and endpoint to create valuable assertions. | ||
| ``` |
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This code block is missing a language identifier. Based on the pattern used elsewhere in this document, it should be labeled as md AI Prompt to match the styling of other prompt blocks.
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@copilot open a new pull request to apply changes based on this feedback
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@stefanjudis I've opened a new pull request, #118, to work on those changes. Once the pull request is ready, I'll request review from you. |
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
Affected Components
This PR adds a new guide based on our recent AI webinar.