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A practical guide for web developers and sysadmins to automate AI-driven software testing with Bash: covers AI testing concepts (test generation, anomaly detection, prioritization), environment setup (Linux/Bash, AI toolkits, APIs), a sample script pipeline, and best practices for error handling, security, version control, and continuous learning, plus resources to deliver smarter, more efficient, and robust QA.