Apply FireCrawl advanced debugging techniques for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating complex race conditions, or preparing evidence bundles for FireCrawl support escalation. Trigger with phrases like "firecrawl hard bug", "firecrawl mystery error", "firecrawl impossible to debug", "difficult firecrawl issue", "firecrawl deep debug".
Choose and implement FireCrawl validated architecture blueprints for different scales. Use when designing new FireCrawl integrations, choosing between monolith/service/microservice architectures, or planning migration paths for FireCrawl applications. Trigger with phrases like "firecrawl architecture", "firecrawl blueprint", "how to structure firecrawl", "firecrawl project layout", "firecrawl microservice".
Configure FireCrawl CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating FireCrawl tests into your build process. Trigger with phrases like "firecrawl CI", "firecrawl GitHub Actions", "firecrawl automated tests", "CI firecrawl".
Diagnose and fix FireCrawl common errors and exceptions. Use when encountering FireCrawl errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "firecrawl error", "fix firecrawl", "firecrawl not working", "debug firecrawl".
Execute FireCrawl incident response procedures with triage, mitigation, and postmortem. Use when responding to FireCrawl-related outages, investigating errors, or running post-incident reviews for FireCrawl integration failures. Trigger with phrases like "firecrawl incident", "firecrawl outage", "firecrawl down", "firecrawl on-call", "firecrawl emergency", "firecrawl broken".
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Build production agent workflows with empirical verification - Complete teaching system with guides, diagrams, and working examples.
→ Start Here: 5-Minute Introduction | → Visual Architecture Map | → System Summary
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Guides (90+ pages) |
Reference Implementation |
What you'll learn: Turn "LLM analyzed my code" into "LLM + script verified with evidence" - The pattern for production-ready agent systems.
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