AI can generate code, can it generate architectural wisdom?
🗣 Submit your Talk here (you can submit for future meetups later this year as well, not just this)
When AI Writes the Code, Who Designs the System?
AI coding tools can now generate functions, services, and sometimes entire repositories in seconds. Writing code is becoming easier and faster than ever.
But good systems are not just code.
Architecture — defining system boundaries, data flows, failure modes, operational constraints, and long-term maintainability — still requires engineering judgement and a holistic view of the system. In fact, as AI generates more code, architecture becomes even more critical. Missing context, unclear constraints, or weak guardrails can quickly lead to fragile systems at scale.
For this edition of TechBrews, we want to explore how teams are thinking about system design and architecture in the era of AI-assisted engineering.
We're looking for talks on topics such as:
Designing systems when AI generates large portions of the implementation
Architecture guardrails for AI-assisted development
Preventing fragile systems caused by missing context in AI-generated code
How system design practices evolve when code becomes cheap
Code review and governance in the AI coding era
Engineering workflows that combine AI productivity with architectural rigor
Where AI helps — and where engineering judgement is still critical
Any strong architecture or system design topic with practical takeaways — AI-related or otherwise
We especially welcome real-world experiences, lessons learned, and practical approaches from teams building and operating production systems.