Deep Barot is the Founder and CEO of ContextQA, the only AI testing platform that understands context. He brings decades of experience across DevOps, full-stack engineering, cloud systems, and large-scale platform development. Before starting ContextQA, he led engineering initiatives in fintech, healthcare, IoT, and enterprise software, building automation frameworks, CI/CD pipelines, cloud deployments, and mission-critical systems for companies like Credit Acceptance, GE, Guardhat, and Perficient. His work has always focused on solving real engineering bottlenecks through automation and scalable architectures. At ContextQA, he applies that expertise to eliminate flaky tests, accelerate releases, and help teams achieve reliable, predictable quality with an AI-powered no-code, low-code, and pro-code testing platform. Deep believes AI should empower engineers and make software delivery faster, stable, and trust-driven.
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qa best practices

QA Best Practices That Support Faster, Safer Releases

With a jam-packed software development landscape, the pressure to release new features quickly is huge. However, speed without quality is a recipe for disaster. Bugs, glitches, and poor user experiences can erode customer trust and damage a brand’s reputation. This is where a strong foundation of Quality Assurance (QA) becomes critical.  By implementing and adhering […]

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ci/cd pipeline implementation

CI/CD Pipeline Implementation Considerations for QA Testing Teams

So, you’re thinking about implementing a CI/CD pipeline. Good for you! It’s a huge deal for any development team, but it’s especially beneficial for testing teams. A well-implemented CI/CD pipeline can help you automate your testing, catch bugs earlier, and release with more confidence. But a CI/CD pipeline implementation is not a trivial undertaking. There […]