In this special edition of Automation Hangout, George Ukkuru recently hosted Divya Manohar, Co-founder and CEO of DevAssure, to discuss how the company is rethinking test automation using AI.
From solving real-world QA challenges to redefining the future of testing roles, Divya shares her journey, product vision, and the hard-earned lessons from building a test orchestration platform making waves across web, mobile, and API testing.
George: Welcome to Automation Hangout! I’m your host, George Ukkuru, and today, I’m joined by someone making serious waves in the test automation world — Divya Manohar, CEO of DevAssure. Welcome, Divya! How are you doing?
Divya: I’m doing really well, George. Thanks so much for having me!
From Problem Solver to Founder
George: Let’s start with your journey. You were a software engineer. What inspired you to start DevAssure?
Divya: I never planned to become an entrepreneur. It started with a real problem — the constant struggle in software teams between speed, accuracy, and reliability in testing. Bugs were caught late in beta, release cycles dragged, and we were always firefighting. My co-founders and I decided to solve this problem, not to start a company, but to fix what was clearly broken. That led us to build DevAssure.
Bridging Speed and Quality
George: One common tradeoff in QA is between speed and quality. How does DevAssure address that?
Divya: That’s exactly the pain we wanted to address. DevAssure isn’t just another test automation tool — it’s a test orchestration platform. We introduced multiple AI agents that help from the design phase to execution. Think generating test cases from Figma designs or PRDs, catching bugs during development, automating scripts, and managing CI runs — all handled by intelligent agents. It’s about removing friction throughout the testing cycle.
Smart Test Case Generation
George: One of the standout features is test generation from designs. How does that work?
Divya: Our agent can read Figma designs, PRDs, architecture diagrams, and basically any artifact and generate test cases automatically. It acts like a QA engineer, considering edge cases, regression paths, and end-to-end flows. It even raises clarifying questions when documents are unclear, just like a real tester. What takes days for teams to align on, our system does in minutes.
Fast Implementation, No Code Required
George: How long does it take to adopt DevAssure?
Divya: Typically 2–3 days. There’s a small learning curve because we use natural language inputs and have custom keywords, but it’s minimal. Since it’s no-code, testers don’t need to write scripts — focus on validating logic and flow.
From First Customers to Scalable Sales
George: You come from an engineering background. How did you land your first customers?
Divya: It was a learning curve. Initially, I focused on features instead of ROI. But we started with our trusted network, did beta trials, and got validation. People didn’t buy because they knew us — they had real problems that DevAssure solved. Beyond that, we built a strong content engine to drive inbound leads. Writing blogs from the founder’s perspective really resonated.
Surprises and Sales Cycles
George: What’s one thing that surprised you when building the company?
Divya: Sales cycles! We did so much research upfront, but I didn’t expect how hard it would be to convert interest into action. Teams deprioritize, trials drag on, and many decisions require top-down buy-in. I assumed it would be simple, but it wasn’t. That was a huge lesson.
Built for Complex Applications
George: Did customers request features that shaped your roadmap?
Divya: Absolutely. DevAssure is made for complex applications — think maps, canvases, and data-heavy dashboards. Customers often request custom features, like using their own libraries within our no-code platform. We designed it to be flexible enough to adapt to real-world complexity.
Evolving QA Roles with AI
George: With AI advancing, do you think it’ll replace testers?
Divya: Not replace — but redefine. Teams will be leaner, yes. However, testers will supervise AI, rebuild context, and provide domain expertise that AI lacks. Human testers still play a vital role in understanding users and business processes.
Visual Testing: A Game Changer
George: Visual bugs are tricky. How does DevAssure handle visual testing?
Divya: I learned the hard way — one small CSS change created a huge production issue. So we built visual validation into DevAssure. It tracks layout shifts, checks across browsers and resolutions, and even validates charts and dashboards visually. One of our clients cut visual test time from a week to an hour. That’s the power of AI-assisted visual QA.
What’s Next for DevAssure?
George: What’s on the roadmap?
Divya: We’re training our agents to be more autonomous. Today, it takes 5 minutes to generate one automation script — soon, we’ll scale that to 25 scripts in parallel. The goal is faster, more reliable automation with minimal manual input. We want our agents to think and act like testers, at speed.
Closure
George: Divya, this was an incredible conversation. Thank you for sharing your story and giving us a behind-the-scenes look at DevAssure. Wishing you and your team all the best!
Divya: Thank you so much, George. I’ve always followed your content — it’s been a pleasure being here!
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