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Jamie Motheral

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7 months

Jamie Motheral is a QA strategist at Parasoft and software testing advocate with over 8 years of experience helping teams adopt automation, AI, and modern testing practices. She writes and speaks about how emerging technologies are reshaping quality assurance in real-world development environments.

Company
Parasoft
Job Function
Testing
Job Title
API & Functional Testing Specialist
Industry
Software Testing Solutions Vendor
Interests
Agile
Artificial Intelligence/Machine Learning (AI/ML)
CI/CD and Containerization
DevOps
DevSecOps
Leadership
Performance Testing
Release Management
Software Development
Software Security
Test Automation
Testing/QA
Country
United States

Jamie Motheral is a QA strategist at Parasoft and software testing advocate with over 8 years of experience helping teams adopt automation, AI, and modern testing practices. She writes and speaks about how emerging technologies are reshaping quality assurance in real-world development environments.

All Articles by Jamie Motheral


All Stories by Jamie Motheral

two hands holding up a pair of binoculars What QA Leaders Should Look for in API Testing Tools in 2026 (Hint: It’s Not Just Automation)

Automation alone no longer guarantees API reliability. In 2026, QA leaders must bridge the gap between "green builds" and production failures by prioritizing service virtualization, CI/CD alignment, and agentic AI maintenance. Success requires shifting from tactical test execution to strategic, enterprise-ready platforms that ensure scalable, resilient software delivery.

steps and a progress bar Accelerating QA Onboarding and Skills Growth With Agentic AI

Agentic AI is revolutionizing Quality Assurance by transforming complex testing into a guided learning experience. By embedding intelligent mentors directly into workflows, teams can accelerate onboarding and empower junior testers to tackle advanced protocols like gRPC and Kafka. This shift moves AI beyond simple automation, fostering continuous skill growth and enabling organizations to scale their testing capabilities efficiently.

empty plastic bottle Sponsored Article: The Three Bottlenecks AI Is Breaking in Continuous Testing

AI-driven automation is making Continuous Testing achievable by breaking three key bottlenecks: test creation and maintenance (using GenAI and self-healing), environment availability (via accessible service virtualization), and execution speed (using intelligent test impact analysis). These solutions enable faster, more reliable feedback and higher quality.