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.
Guide
BDD testing tools concept, two teammates agreeing on shared scenario speech bubbles ending in a checkmark

Top 10 Behavior Driven Development (BDD) Testing Tools for 2026

TL;DR: The BDD testing tools landscape changed more in the last two years than in the previous ten: SpecFlow, the .NET standard, was discontinued and reborn as Reqnroll, and AI platforms now deliver BDD’s collaboration benefits without Gherkin maintenance. This 2026 list ranks the 10 BDD testing tools worth evaluating: ContextQA, Cucumber, Reqnroll, Behave, Karate, […]

Testing Fundamentals
Cost of defects in software testing concept, coin stacks rising along an arrow with an alarm bell

Cost of Defects in Software Testing: The Real Numbers

TL;DR: A defect found during production costs up to 100 times more to fix than one caught during design. The Consortium for Information and Software Quality (CISQ) estimates that poor software quality costs the United States $2.41 trillion annually. That figure includes operational failures, failed projects, technical debt, and cybersecurity breaches. This guide breaks down […]