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Wed, April 22ArchitectureDeepTech
The excitement around AI continues to grow, but can AI actually help us create software architectures? This session explores the opportunities and risks of using AI as a design collaborator in architectural decision-making. Attendees will examine where AI can provide meaningful assistance, such as exploring design alternatives, visualizing system components, and identifying trade-offs, and where human judgment remains essential to ensure context, coherence, and alignment with business goals. The session offers practical guidance on integrating AI into the architectural process responsibly, leveraging its strengths while avoiding common pitfalls.
What You Will Learn
The advantages and limitations of using AI for software architecture design
How to meaningfully integrate AI tools into architectural workflows
Best practices for maintaining human oversight and avoiding overreliance on automation
Who Should Attend
Software architects, developers, and technical leaders interested in responsibly applying AI to the design and decision-making processes in architecture.
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Dr. Venkat Subramaniam is an award-winning author, founder of Agile Developer, Inc., creator of agilelearner.com, and an instructional professor at the University of Houston
He has trained and mentored thousands of software developers in the US, Canada, Europe, and Asia, and is a regularly-invited speaker at several international conferences. Venkat helps his clients effectively apply and succeed with sustainable agile practices on their software projects.
Venkat is a (co)author of multiple technical books, including the 2007 Jolt Productivity award winning book Practices of an Agile Developer. You can find a list of his books at agiledeveloper.com. Find him on twitter at @venkat_s.
