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From Debugging Nightmares to Agentic Intelligence: How CoverStack Rewired QA with No-Code Test Automation

Srinivas Vijayaraghavan
Srinivas Vijayaraghavan
B2B Marketing Consultant

“No-code isn’t a shortcut. It’s a strategy.” — Pratik Pashte, QA Lead, CoverStack

Debugging Nightmares to Agentic Intelligence: How CoverStack Rewired QA with No-Code Test Automation​

In the world of software testing, the debate between power and agility has always raged on. But what happens when you don’t have to choose?

In this episode of Agents of Assurance, we sit down with Pratik Pashte, QA Team Lead at CoverStack (formerly Coverfox Insurance), to explore how his team evolved from brittle, code-heavy test frameworks to embracing no-code test automation powered by AI-assisted testing agents. Hosted by Divya Manohar, Co-founder of DevAssure, the conversation dives deep into not just tools, but the cultural and cognitive shifts required to modernize QA.

The Hidden Costs of Code-Heavy Automation​

Pratik opens with a frank admission: while traditional frameworks gave them power, they also buried the team under layers of technical debt.

“Writing a test case felt like writing production code… even a small UI change would break 10–15 test cases,” he explains.

In a code-centric model:

  • Every new test needed developer bandwidth
  • UI changes led to firefights
  • Debugging became a time sink
  • Onboarding new team members was painfully slow
  • Non-coders—like product managers or junior QAs—were excluded from the testing process

The result? Slower sprints, longer regressions, and frustrated teams.

The Wake-Up Call: When One Button Broke a Release​

Pratik recalls the pivotal moment that forced the team to rethink everything: a single button UI tweak broke dozens of automated tests, delaying a release and triggering a full-day crisis.

“Dev was angry. QA was stressed. Leadership wanted answers. That one bug made it clear—we needed something more resilient.”

This wasn’t just a tooling failure. It was a sign that their process wasn’t keeping up with the speed of modern development.

Enter No-Code: A Tooling Shift, but More So a Mindset Shift​

Switching to a no-code platform like DevAssure wasn’t as simple as installing new software.

“It felt like cheating at first. We had to unlearn the belief that more code equals more control,” says Pratik.

His team had to:

  • Let go of the idea that only developers can do automation
  • Shift from being “code-centric” to “outcome-centric”
  • Reimagine automation as a collaborative exercise, not a siloed dev task

This shift democratized testing—suddenly, QA analysts and even PMs could create tests without writing a single line of Java or Python.

The Agentic Leap: AI-Assisted Testing in Action​

With DevAssure’s agentic testing model, powered by its proprietary Yaan AI, Pratik’s team found a new rhythm.

“We stopped treating automation as static scripts. Instead, we began to see it as a smart co-pilot that adapts, heals, and prioritizes.”

Key transformations:

  • Locator Healing: Agents self-corrected minor UI changes, reducing test flakiness
  • Test Prioritization: AI suggested which tests mattered most for each release
  • Reduced Bottlenecks: Developers focused on features while agents handled checks

The result? A seamless bridge between dev and QA.

Outcomes That Mattered: Less Debugging, More Thinking​

Pratik doesn’t mince words when it comes to measuring success.

“Test maintainer time dropped by over 50%. We spent less time firefighting and more time exploring edge cases.”

For CoverStack, no-code testing with AI assistance wasn’t just about speed—it was about focus. Teams could finally step back and ask the big questions: “Are we testing what actually matters to the user?”

Tackling Edge Cases: A Smart Hybrid Approach​

Skeptics often worry that no-code tools can’t handle edge cases. Pratik agrees—but only partially.

“No-code isn’t magic. But it’s extensible.”

Their approach:

  • Use visual, drag-and-drop testing for 80–90% of flows
  • Extend the platform with custom code or JavaScript for the tricky 10%
  • Leverage APIs and smart validations to stitch the gap

The outcome? Less time spent building frameworks, more time spent shipping quality.

The Future of QA: From Bug Hunters to Quality Orchestrators​

Looking ahead, Pratik sees QA roles evolving into more strategic functions.

“In two years, QA won’t just test software. We’ll manage intelligent systems that test themselves.”

He envisions:

  • AI agents that understand code commits and generate tests in real-time
  • QA engineers acting as curators of training data and edge-case reviewers
  • A future where no-code is the interface, AI is the engine, and agents are the operators

The Human Advantage in an AI World​

So where does human skill come in, when AI can generate test cases?

“Critical thinking. Contextual judgment. Asking why we’re testing something,” says Pratik.

Tomorrow’s QA engineers will:

  • Prioritize user impact
  • Bridge human experience and system design
  • Ensure AI systems make the right choices

In short, the role of QA will be less about chasing bugs, and more about engineering confidence.

Closing Rapid Fire: The TL;DR on No-Code and QA​

  • Myth that needs to die: “No-code is a shortcut.” No—it’s a strategic enabler.
  • Most underrated skill: Understanding how features impact real users.
  • Tool you won’t return to: “Anything that makes me debug XPath failures.”
  • Speed vs Quality?: Always fewer bugs. Quality builds trust.
  • One thing every team should start doing: Treat test data like production data—clean, reusable, and reliable.

Final Thoughts: Quality as a Shared Responsibility​

Divya wraps up with a key insight:

“No-code tools are shifting QA from being a bottleneck to a shared responsibility—and that’s the future we believe in at DevAssure.”

For teams stuck in fragile frameworks or struggling to scale quality, the CoverStack story offers hope—and a roadmap.

The age of no-code test automation and AI-assisted testing isn’t in the future. It’s already here.