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EuroSTAR Conference

Europe's Largest Software Testing Conference.

Track Talk, Th5

Multi Agent Cooperative Testing: Automation to Orchestration

Manisha Mittal

Apurva Singh

10:00 - 10:45 CEST, Thursday 18th June

You have invested years into building a sophisticated test automation framework. But as product evolved, the once-robust suite started showing its age.

We faced this exact problem. What was meant to accelerate testing became a heavy burden—duplicate tests piled up, flaky results eroded confidence, minor UI or API changes broke dozens of scripts, and feedback cycles slowed to a crawl.

Tests didn’t know what was relevant anymore. Execution was blind to context.

We didn’t need more automation at scale. We needed better orchestration and smarter execution.

During one intense meeting, a Gen-Z team member made a bold statement: “These tests should think, communicate, and self-organize.” That thought became the turning point.

What if different parts of the test framework could act like agents—autonomous, collaborative, and adaptive?

This vision led to Multi-Agent Cooperative Testing (MACT):

  • Specialized test agents that each have a role (e.g., Regression Agent, Sanity Agent, Risk-Detector, API Validator)

  • Local decision-making based on change deltas, risk scores, or telemetry

  • Inter-agent communication to avoid redundancy and build context

  • Continuous learning (e.g., “tests near this change area usually fail”)

MACT is a decentralized model where lightweight agents specialize in testing roles, collaborate in real-time, and adapt test behavior based on system change. It can sit on top of existing frameworks (like Selenium, Cypress, Playwright, REST Assured, etc.) and drive smarter execution.

In this presentation, we reveal how we navigated the crisis, emerged stronger with a robust framework powered by AI agents by sharing our journey from a rigid automation framework to a multi-agent testing ecosystem. We believe MACT represents not just evolution—but a leap forward in making “Testing at its Best” intelligent, distributed, and future-ready.

This talk will conclude with lessons learned, emphasizing resilience and how client challenges can be transformed into opportunities.

What you will learn

  1. How Multi-Agent Cooperative Testing (MACT) was designed and implemented to create intelligent, adaptive, and resilient automation through collaborative test agents
  2. How moving beyond traditional automation to context-aware, adaptive execution improve overall test effectiveness?
  3. Learn how smarter orchestration speed execution, reduce maintenance, and boost client collaboration?

Session Details

  • Intermediate
  • 45 Minutes
  • Includes 15mins Q&A
  • Implementing/integrating AI tools
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Check out this video from Manisha Mittal to hear more about her talk on Multi Agent Cooperative Testing: Automation to Orchestration.

We look forward to welcoming you to EuroSTAR 2026.

Session Speakers

Manisha-Mittal

Manisha Mittal

Nagarro, UAE

As a Line of Business Head, I drive strategic innovation and operational excellence in software engineering with a focus in AI and led diverse teams, ensuring robust, scalable, and user-centric solutions. Continuous learning remains a key pillar of my leadership approach, ensuring that I stay ahead in the evolving technology and enterprise solutions.

Session Co-Speaker

Apurva-Singh

Apurva Singh

Nagarro, India

Sr. Principal Consultant at Nagarro with extensive experience in designing and implementing robust test automation frameworks. With a focus on AI-driven testing approaches, I bring a balanced mix of technical depth and strategic planning to ensure quality at every stage of the development lifecycle.

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