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Beyond AI Hype: Architecting AI-Native Systems That Scale in Production

Event artwork for Beyond AI Hype: Architecting AI-Native Systems That Scale in Production

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About this event

What to expect

A practical online session on 25 September 2026 for engineering teams designing AI-native systems that must remain scalable, reliable, secure and observable.

AI may be changing how software is built, but production systems still depend on sound engineering. Beyond AI Hype moves past trend-led discussion to examine the architectural and operational decisions required to turn AI-powered product ideas into dependable software that can scale.

Hosted by Bishwas J., a Meetup Super Organizer, this session draws on practical lessons from building AI-powered products and modern software platforms. The emphasis is on implementation strategies that engineering teams can apply immediately, not speculation about where AI might go next.

What the session will cover

The discussion will explore the production challenges that emerge as organisations integrate AI into their software, including:

  • Architectural patterns for AI-native applications and modern platforms
  • Scalability as AI products move beyond prototypes and early experiments
  • Reliability and operational excellence in production environments
  • Security considerations when incorporating AI into wider systems
  • Observability and the need to understand system behaviour in operation
  • Common implementation mistakes and the engineering choices that help avoid them
  • Practical approaches to deploying AI systems successfully in production

A central theme is that AI introduces new technical considerations without removing the need for established software and DevOps fundamentals. Attendees can expect a grounded perspective on how those fundamentals apply to AI applications, with attention paid to the trade-offs teams face when moving from experimentation to real-world operation.

Who should attend?

This event is particularly relevant to software engineers, DevOps and cloud infrastructure practitioners, platform teams, architects and technical leaders working with, or preparing to work with, AI in production. It will also suit builders who already understand the promise of AI but want a more rigorous view of scalability, security, reliability and operations.…

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