Why 80% of AI Agents Hit a Wall and How Browser Infrastructure Help Break Through It
28th May 2026 | 7:30 PM IST & 5:00 AM PST
Harish Rajora
Senior Software Engineer
Devansh Bhardwaj (Host)
Senior Product Marketing Manager
Abstract
Most browser agents don't fail because the model is wrong. They fail because the infrastructure underneath them wasn't built for production scale.
This workshop tackles the challenge every team hits after the prototype works: taking a browser agent, a booking agent, an HR agent, a flight search agent and scaling it to real concurrency, real environments, and real reliability. We'll trace the specific infrastructure decisions that determine whether an agent scales or stalls, and show exactly how Browser Cloud solves them.
Key Takeaways
1. Learn how to diagnose whether your browser agent failures are model problems, logic problems, or infrastructure problems and stop solving the wrong layer.
2. Walk through real agent archetypes booking, HR, flight search and the specific infrastructure failure modes each one hits at scale.
3. Understand the four infrastructure decisions that separate teams running reliable agents in production from teams still debugging prototypes.
4. Leave with a prioritized action plan to take a working browser agent and make it production-ready at scale.
Speaker
Harish Rajora
Senior Software Engineer
Harish Rajora is a Software Developer with over 6 years of hands-on experience in Python and cross-platform application development across Windows, macOS, and Linux. He has authored 800 + technical articles published across reputed platforms. He has also worked on several large-scale projects, including GenAI applications, and contributed to core engineering teams responsible for designing and implementing features used by millions. He has completed his post-graduation with an M.Tech in Software Engineering from the Indian Institute of Information Technology (IIIT) Allahabad. Harish has worked extensively with Django, shell scripting, and has led DevOps initiatives, building CI/CD pipelines using Jenkins, AWS, GitLab, and GitHub. Over the years, he has emphasized the importance of planning, documentation, ER diagrams, and system design to write clean, scalable, and maintainable code beyond just implementation.
Host
Devansh Bhardwaj
Senior Product Marketing Manager
Devansh Bhardwaj is a Community Evangelist at TestMu AI with 4+ years of experience in the tech industry. He has authored 30+ technical blogs on web development and automation testing and holds certifications in Automation Testing, KaneAI, Selenium, Appium, Playwright, and Cypress. Devansh has contributed to end-to-end testing of a major banking application, spanning UI, API, mobile, visual, and cross-browser testing, demonstrating hands-on expertise across modern testing workflows.
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