Contextqa
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ContextQA – AI-powered test automation platform. Cut Backlogs, Not Corners. Turn Months of Backlog into Hours of Automated Testing Success.
ContextQA is a groundbreaking product that empowers organizations to enhance their automation test coverage, elevate software quality, expedite product delivery, and significantly curtail expenses related to maintaining software quality through the utilization of AI-driven SaaS solutions. Offering a low-code/no-code approach, ContextQA simplifies the process of incorporating test cases with minimal effort, enabling rapid expansion of automation coverage for your products and services. This facilitates seamless regression testing for both individual features and entire development processes, thereby mitigating team burnout. The suite of ContextQA tools seamlessly integrates with popular test case management tools like JIRA, Asana, and Monday.com, as well as CI/CD platforms such as Jenkins, CircleCI, and Harness, automating the initiation of test automation. This fosters the realization of true continuous testing. Leveraging state-of-the-art Artificial Intelligence, ContextQA excels in predicting potential test case failures stemming from code changes and provides one-click solutions to rectify all test cases. Key Benefits:
Significantly boost automation test coverage
Elevate software quality standards
Accelerate product delivery timelines
Substantially reduce budgetary expenditures, saving up to 50%
Alleviate resource constraints
09/25/2026
We did office awards. The prizes are very real. 🏆
The Contexties 2026: The Dundies, ContextQA edition.
📱 Akash Shah: Makes It Look Easy
📱 Darshan: Already On It
🛵 Aarti Panchal: Always Gets Things Moving
🏍️ Chintan Vasoya: All In. Every Time.
Two iPhones, a Suzuki Access 125 and a Royal Enfield Hunter 350.
HR approved this. Somehow. 😄
Swipe to meet the winners →
Congrats, team. Good work deserves to be celebrated. 💜
09/11/2026
ContextQA is hiring a Senior Software Engineer, AI. ⚡
We’re looking for an experienced engineer to help build the platform that tests and validates AI agents.
The ideal candidate has 5+ years of production software experience, strong Node.js and Python skills, hands-on experience shipping with LLMs/agents, and an AI-native development workflow.
🌎 Remote-first — teams across the US, Canada & India
📩 Apply at [email protected]
Know someone who fits? Share this with them.
09/07/2026
Most AI agent failures aren’t immediately obvious. 🔍
An agent can respond confidently while calling the wrong tool, missing a guardrail, losing context, or failing to complete the action it said was done.
That’s why AI Agent Testing needs to go beyond checking the response.
At ContextQA, we’re focused on validating the entire journey — what the agent says, what it calls, what it’s allowed to do, and what actually happens in the system. ⚙️
The goal is to move from “it looks right” to having evidence that the behavior can actually be trusted.
Explore AI Agent Testing at ContextQA → Learn more
09/01/2026
AI can automate more of QA than ever—but that doesn’t mean it should automate everything.
On September 10, Saurabh Sharma, Director of Enterprise Sales at ContextQA, joins Jamie Kriegel and Scrum Masters of the Universe to discuss:
AI in QA Automation: Where It Helps, Where It Doesn’t (Yet)
They’ll unpack where AI is already reducing testing overhead, where teams are running into challenges, how it fits into existing QA and CI/CD workflows, and what happens when the system you need to test is an AI agent itself.
A practical conversation for teams trying to separate real value from expectations that AI still can’t meet.
📅 Thursday, September 10
🕐 12:00 PM CDT
💻 Online
08/31/2026
Meet Darshan Patel - Founding Engineer at ContextQA.
Darshan works on our AI initiatives and test ex*****on engine, including an intelligent crawler designed to automatically explore applications and generate test cases.
Along the way, he’s learned to balance technical leadership with customer value—making sure the technology we build solves real-world problems.
We’re excited to feature Darshan as part of The Humans Behind ContextQA. 💜
From Atlanta to Boston, The Agentic Quality Tour brought together 85 quality and engineering leaders to talk about what AI is changing—and what it isn’t.
We heard real stories of AI adoption, lessons from the field, and practical perspectives on building quality as software development gets faster.
The takeaway that stayed with us:
AI is making it easier to ship software. Building trust in what we ship is becoming the defining challenge.
Thank you to every speaker, partner, and attendee who made these two stops memorable. 💜
The conversation continues.
08/24/2026
From intern to QA Engineer. 💜
Aarti Panchal started her journey with ContextQA in 2022 and has since grown across automation, test planning, POCs, client projects, and plenty of new challenges along the way.
Outside QA, you’ll find her drawing, exploring art, travelling, or listening to music.
Meet another of The Humans Behind ContextQA — the people, interests, and stories behind the product.
Can AI agents really debug a failed deployment for you?
When a deployment fails, engineers can spend 40–50 minutes digging through logs, tracing commits, gathering evidence, and figuring out what actually went wrong.
In the latest episode of The Agentic Quality Podcast, Vasu Raj Jain, Senior Software Engineer at Amazon Ads, joins host Tatyana Arbouzova to talk about how that’s changing.
From behavioral testing and flaky tests to AI-powered debugging, observability, trust boundaries, and human-in-the-loop decisions, they explore what it really takes to test and operate non-deterministic systems.
Vasu also shares the approach that helped move from flaky tests to 1,000+ deployments a year.
🎙️ The full episode is live now.
Watch here:
https://youtube.com/watch?v=ijtjD0llkKA&feature=youtu.be
08/18/2026
From flaky tests to 1,000+ deployments a year.
In the next episode of *The Agentic Quality Podcast, Vasu Jain from Amazon Ads shares why traditional testing struggled with a system where outputs constantly change,and what happened when the team started validating **behavior instead of fixed outputs.
The conversation goes deeper into AI agents, observability, trust, human-in-the-loop decisions, and what it really takes to test non-deterministic systems.
🎙️ **Full episode drops August 20.**
08/18/2026
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