From AI Assistants to AI Coworkers: How Engineering Teams Ship Faster with Trusted Enterprise Context
Generic AI assistants can answer questions, but they don't understand your codebase, your incidents, or how your team actually works. That gap is what separates a helpful chatbot from a genuine engineering coworker. This session explores the shift from general-purpose assistants to AI systems that reason over the full context of software engineering: code, tickets, documentation, incidents, and the organizational knowledge that lives between them.
At the heart of this evolution is enterprise context, the foundation for AI that can meaningfully support modern engineering teams. This talk unpacks why that context matters so much, and shares practical lessons on building AI that developers actually trust, including how to balance automation with human oversight and keep engineers in control as systems take on more of the work.
Attendees will learn how context-aware AI reduces the constant context switching that slows teams down, accelerates incident investigations, and helps engineers ship with greater speed and confidence. Whether you're evaluating AI tooling or thinking about how your team works alongside it, this talk offers a grounded view of what it takes to move from AI that assists to AI that genuinely collaborates.
Key Takeaways:
Why enterprise context transforms AI from an assistant into a trusted engineering coworker.
Practical strategies for building AI that developers trust while keeping humans in control.
How AI can reduce context switching, accelerate investigations, and help engineering teams ship faster.
About the speaker
Nilesh Dalvi:
Nilesh is an engineering leader at Glean with more than 18 years of experience spanning machine learning, data, and large-scale systems. He previously co-founded Trooly, which was acquired by Airbnb, where he later led the Trust Infrastructure group, and has also served as CTO of Fiddler AI. Nilesh holds a Ph.D. in Computer Science from the University of Washington and a B.Tech from IIT Bombay, and is widely recognized for his work advancing trustworthy AI, with numerous patents, publications, and industry awards.
About
TestMu Conf
Testμ (TestMu) is the world’s largest virtual conference on agentic engineering and quality, built by the community, for the community. As AI reshapes how we build, test, and ship software, Testμ Conf is where you connect, grow, and lead: agentic workflows, autonomous quality, battle-tested AI playbooks, hands-on workshops, and the engineering culture driving it all.