Build a Full-Stack App with AI, Serverless Postgres, and Databricks
- Date
- 2026-06-25
- Host
- torc.dev
About this event
Building a modern app no longer means stitching together a dozen disconnected tools and hoping the architecture holds up under real use. This in-person meetup is focused on what happens when AI workflows, serverless Postgres, and Databricks are brought together intentionally: faster prototyping, smarter product behavior, and a cleaner path from idea to production. If you want to understand how these pieces fit in a practical full-stack stack, this event is designed to give you a clearer mental model and useful patterns you can apply right away. Expect a technical, community-driven session built for people who like learning by seeing how systems connect. About the Event This event centers on a question many builders are asking right now: how do you create an application that feels intelligent, scales cleanly, and still remains manageable for a small team? Rather than treating AI, data infrastructure, and application development as separate conversations, this meetup brings them into one room. The focus is on full-stack thinking. That means looking at the app layer, the database layer, and the data-and-AI layer together, so attendees can better understand where each tool adds leverage and where integration decisions matter most. Because this is an in-person meetup, the format is also about conversation, not just presentation. You should expect a setting where technical ideas can be discussed in a grounded way with other people actively exploring similar challenges, whether you are building side projects, internal tools, or production-facing products. This is especially relevant if you have been experimenting with AI features and want to move beyond demos into systems that are structured, data-aware, and built to evolve. What to Expect The session will explore what it takes to build a full-stack application that combines: AI capabilities for more dynamic product behavior and automation Serverless Postgres for a flexible, developer-friendly operational database layer Databricks for working with data, pipelines, analytics, or AI-adjacent workloads You can expect discussion around architecture choices and how these technologies may complement one another in a realistic app workflow. Rather than isolating each component, the event will emphasize how data moves through the system and how that affects product design, developer velocity, and maintainability. There will also be a strong community element. Meetups like this work best when attendees bring their own questions: how to structure an AI-enabled backend, how to think about application data versus analytical data, when to keep things simple, and when a more robust stack starts to pay off. In practical terms, expect a mix of technical framing, examples, and peer conversation. The networking aspect matters here because many of the most useful insights come from hearing how other builders are approaching similar architecture decisions in the real world. Why Attend If you are trying to make sense of the current AI tooling landscape, this event offers something more useful than hype: context. You will leave with a better understanding of how AI features can sit inside a broader application architecture instead of being treated like a bolt-on experiment. You will also get clearer thinking around stack design. Serverless infrastructure changes how teams approach setup, scaling, and iteration speed, while platforms like Databricks influence how data and intelligence can be operationalized beyond a single app endpoint. Seeing these layers together can help you make more confident technical decisions. This meetup is also valuable because it connects strategy with implementation. Whether you are early in exploration or already building, the real benefit is learning how others are translating big ideas into practical systems. Attendees should come away with takeaways such as: A stronger mental model for connecting AI, app development, and data platforms More confidence in evaluating full-stack architecture options Useful questions to ask before choosing tools for your next build Peer insight from people working through similar technical tradeoffs Fresh momentum for turning prototypes into more durable applications Practical Details This is an in-person event, which means the experience is built around live discussion, real-time learning, and face-to-face networking. If you get the most out of technical events by asking questions, comparing notes, and meeting other builders directly, that format is a major advantage. The meetup takes place on Thursday, June 25 at 1:00 PM EDT. Plan to arrive a little early if you want time to settle in and connect with other attendees before things get underway. Because the theme spans AI, application architecture, data systems, and developer workflow, it will be helpful to come with a few specific questions or use cases in mind. You do not need to be an expert in every layer to get value from the event, but curiosity about how modern stacks are coming together will go a long way. If you are looking for a technical meetup that is current, practical, and rooted in how people are actually building today, this is a strong room to be in.
Who should attend
This is for people who want a more practical understanding of how modern AI apps are actually put together, not just which tools are popular. - You are a **developer, engineer, or technical builder** who wants to understand how AI, application logic, and data infrastructure connect in one full-stack architecture. - You are **experimenting with AI features** and need clearer thinking on what belongs in the app layer, what belongs in the database, and where a platform like Databricks fits. - You are building **internal tools, product prototypes, or production applications** and want patterns that can help you move from proof of concept to something more durable. - You care about **developer speed and system design**, and you want to learn how serverless Postgres can support faster iteration without losing sight of scale and structure. - You enjoy **meeting other technically curious people** working through similar questions around AI, autonomy, data, and modern app architecture. - You do not need to be deeply specialized in every tool mentioned, but you should get the most from this event if you are comfortable with technical concepts and eager to ask thoughtful questions.