Live Webinar: ChatGPT Writes Tests, But ContextQA Understands Them...
The live webinar featured Deep Barot, founder and CEO of ContextQA, discussing the company’s AI‑driven testing platform and its focus on testing AI agents. Barot explained his unconventional path from full‑stack developer and DevOps engineer to AI testing entrepreneur, highlighting the missing context that traditionally hampered QA efforts. Key insights included the platform’s ability to ingest requirements, design specifications, or even plain‑English spreadsheets and automatically generate, execute, and self‑heal test suites across web, mobile, API, database, and AI agents. ContextQA integrates directly into CI/CD pipelines and developer workflows, offering root‑cause analysis, impact assessment, and AI‑agent‑specific guardrails without requiring custom SDKs. Barot emphasized a growth mindset, early adoption of emerging technologies, and leveraging available resources as essential for anyone entering AI/ML testing. He cited personal examples—learning Java before it was mainstream, pioneering Docker and AWS, and studying machine learning ahead of industry demand—to illustrate how staying ahead of the curve creates opportunities. The discussion signals a broader shift away from the classic testing pyramid toward a context‑aware, AI‑centric paradigm. Enterprises that adopt such platforms can accelerate release cycles while maintaining quality, and professionals who cultivate the described mindset will be well‑positioned for the evolving testing landscape.
Agent AI - Context QA : AI Generated Test Cases | AI Powered Test Automation
In this episode of Naveen Automation Labs, host Naveen introduces ContextQA, an AI‑powered testing platform that automates test‑case creation, execution, and validation. He positions the tool as a solution for teams tasked with integrating AI into their quality‑assurance workflows, highlighting...
Live Webinar : Ship Faster with Intelligent Testing by #Testifly. Test Smarter, Not Harder 📱
The live webinar hosted by Testifly showcased an intelligent testing platform designed to accelerate software delivery while cutting manual effort. Demonstrations highlighted AI‑driven test case prioritization, seamless integration with Selenium, Java, and API tools, and real‑time analytics that help teams...
How AI Agents Can Autonomously Test Applications without Predefined Scripts
The webinar centered on how AI agents can autonomously test applications without predefined scripts, exploring the shift from traditional manual testing to an AI‑augmented testing paradigm. Veteran QA leader Mukund highlighted his three‑decade journey from early QC practices to today’s...
Generate Best Cover Letter + Resume Together in Just One Click - With Perfect ATS Score.
Navin Automation Labs showcases the latest upgrades to shapemycv.com, including a dedicated landing page that consolidates all features and a one‑click export function that delivers both a PDF resume and a Word‑formatted cover letter. The platform now highlights an ATS...
What Is Agentic AI? How It Works? Live Example Use Cases With #PostQode | JIRA MCP Server
The video introduces Agentic AI as a paradigm shift from traditional large‑language‑model (LLM) chat interfaces to autonomous agents that can complete end‑to‑end goals. Naven explains that unlike single‑turn prompt‑response models such as ChatGPT, an Agentic AI system plans, acts, observes...
96% of Devs Don't Trust The AI Code || AI Didn't Kill QA - It Will Make It the...
The video reviews a SonarSource 2026 developer survey of 1,149 professionals, highlighting how AI tools are reshaping software development. Adoption has surged from 6% of code commits in 2023 to 42% in 2026, with a forecast of 65% by 2027,...