AI DevSummit 2025 + DeveloperWeek Leadership 2025

Join 300+ Developers at the Nation's Largest Challenge-Driven Hackathon.

Join 300+ developers builidng new apps, bots -- in person or online. Participants can build any app of their choice and will compete for $12,500+ in cash, products and prizes.
Get all the details and the amazing challenges & prizes here: https://aidevsummit.co/hackathon/
Put yourself in the center of the developer world!

Register for your ticket here!

Abhai Pratap Singh, Amazon, Senior Product Manager-Technical

"From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation" explores the delicate balance between advancing AI capabilities and maintaining genuine user value. Drawing from experience leading Alexa's voice assistant development, this session reveals practical strategies for putting user needs at the center of AI product development. Learn how to avoid the trap of 'tech for tech's sake' while driving meaningful innovation. Through real-world examples from voice AI and multi-modal interactions, discover frameworks for evaluating AI features, measuring user impact, and making strategic decisions that enhance rather than complicate the user experience. Perfect for product leaders navigating the AI revolution.

Mark Fussell, Diagrid, CEO
Yaron Schneider, Diagrid, Co-Founder / CTO

As developers push the boundaries of AI-driven automation, the challenge of orchestrating and managing autonomous agents at scale becomes increasingly complex. Dapr Agents is an open-source framework that dramatically lowers the creation of production ready agentic systems, powered by the CNCF Dapr's (dapr.io) distributed application runtime, used by thousands of enterprises today in mission critical services. By combining LLM-driven reasoning with Dapr’s virtual actor model, pub/sub messaging, and stateful workflows, Dapr Agents enables developers to build intelligent, scalable, and fault-tolerant multi-agent systems.

This talk will provide a deep dive into Dapr Agents, demonstrating how it facilitates structured LLM interactions, tool selection, memory retention, and event-driven communication. We'll explore practical use cases, from task automation to collaborative agentic workflows, and discuss best practices for designing real world, robust agent-based architectures. We will also compare different agentic frameworks in use today and show how many of them only address a few of the requirements needed to go into production environments. Attendees will gain hands-on insights into implementing Dapr Agents for real-world applications, optimizing performance, and seamlessly integrating with existing cloud-native infrastructures.

If you're interested in building intelligent, scalable, and resilient agentic systems, this session will equip you with the knowledge to easily build these.

Sudha Viswanathan, ByteDance, Data Architect

Effective team connection, communication, and collaboration across all levels stems from strong interpersonal dynamics. This is a fundamental element of achieving exceptional team performance. Just as with any art, interpersonal skills are cultivated through learning, practice, and refinement. A team mastering both technical expertise and these vital interpersonal skills gains a significant competitive advantage, becoming a truly formidable force. This talk explores common interpersonal challenges encountered in the workplace and provides attendees with a valuable mind map, a practical tool for navigating and resolving these challenges. 

9:00 AM - 9:30 AM Welcome + Networking (Breakfast) 

9:30 AM - 10:20 AM - Panel 1: Be Where the Developers Are
Developers often rely on one another to help evaluate new technologies, dev tooling, and programming ideas. How can marketing teams engage in these conversations without being perceived as invading their space? Our panelists will discuss their tactics for finding where developers share their knowledge and their tactics for supporting and informing these conversations.

1. Michael Ortega, Head of Marketing @ Predibase
2. Yolande Poirier, Senior Manager, Developer Community @ Neo4j
3. Bo English-Wiczling, Senior Director @ Oracle
Moderator: Ziwei Chen, Senior Developer Marketing Strategist @ Catchy


10:20 AM - 10:30 AM - Break

10:30 AM - 11:20 AM - Panel 2: Building a Developer Community
We often speak of the “Developer community” as if it’s a homogenous group of technical experts. In reality, it’s a collection of various communities consisting of unique individuals with differing experiences and skillsets - some of whom never cross paths with one another. Dev marketing teams dream of tapping into these communities by building a subset of developers devoted to their products and services, but often struggle to break through. Our panelists will explore how they have encouraged community among their developer audiences, the benefits it has brought for their organization, and the support these communities provide to the technical practitioners who belong to and engage deeply with them.
1. Ojus Save, Developer Advocate @ Zoom
2, Pat Patterson, Chief Technical Evangelist @ BackBlaze
3. Stephen Chin, VP of Developer Relations @ Neo4j
4. Anthony Lusardi, Developer Relations Engineer @ LibLab
Moderator: Ziwei Chen, Senior Developer Marketing Strategist @ Catchy

11:20 AM - 12:00 PM Expo Tour + Networking

Nuno Campos, LangChain, Founding Engineer

This talk identifies the three key things that make LLM applications different from previous software: latency, versatility and flakiness. LLMs are orders of magnitude slower than we were used to. The outputs of LLM apps are also more variable, and prone to mistakes. And LLM apps can be taken by users into domains we the creators didn’t necessarily program into them or expect. I’ll show how we can use these 3 qualities to our advantage, by learning to work with them, and so use them to build things that were simply impossible before. 

Benjie De Groot, Shipyard, Co-founder and CEO

DORA Metrics measure performance holistically, so that top scorers are those who put people and process first, and do it smartly. This means that prioritizing good DevEx eventually converts to improved DORA Metrics.

DevEx and DORA have a cause and effect type of relationship: the core components of DevEx (unblocking developers, utilizing self-service infrastructure) are all direct drivers of DORA. The 2024 DORA Report urges Platform to study the developer workflow so they can better solve for areas of friction. The most successful Platform teams use DevEx as their North Star for measuring productivity, and the subsequent DORA impact isn’t coincidental. Benjie will discuss how you can manage Platform to enable good DevEx, and what the corresponding DORA outcomes should be.

Logan Ramalingam, Google Cloud, Head of AI Solutions

This session will talk about practical agent usecases for the enterprise.
 

Hazel Weakly, Nivenly Foundation, Fellow

I see you want to hire a developer to work on platform engineering, internal developer tooling, developer experience, and the overall generally intangible but admirable goal of "making life better for devs". That’s awesome; you've got one hell of a challenge ahead of you. This role is extremely difficult to hire for. In my opinion, and in my experience, it’s been the most difficult role in the company outside of senior leadership, and the most likely to fail; if there ever was a role that burns people out, it’s this one.

Come with Hazel as we draw on her experiences building platform teams and organizations in order to talk about making this platform engineering thing a reality. In doing so, we'll end up discussing topics such as

- The hiring pipeline and interview loop
- Timing, politics, and the meta strategies
- Getting to zero from negative
- Avoiding pitfalls
 

Rob Whiteley, Coder, CEO

With great power comes great responsibility—and yes, coding agents can backfire if they’re not thoughtfully deployed. Instead of boosting productivity, they can frustrate developers, slow down progress, and even diminish your competitive edge.

Join Coder CEO, Rob Whiteley, as he unpacks three essential strategies organizations should embrace when scaling agentic coding agents enterprise-wide. Drawing from firsthand lessons and internal experiments—where agents effectively resolved nearly half the tasks we threw at them—we’ll share real-world scenarios showcasing engineering work AI agents excelled at. We’ll also highlight where they fell short, detailing what went wrong and what we’d do
differently next time.

You’ll walk away understanding:

* How realistic expectations ensure AI boosts rather than hinders productivity.
* Why effective human-agent collaboration is critical for developer satisfaction and innovation.
* How clear governance frameworks can prevent technical debt and keep productivity flowing.

Learn from our experiences and ensure your organization’s deployment of AI coding agents empowers your developers, ignites innovation, and solidifies your market leadership.

Ben Lloyd Pearson, LinearB, Director, DevEx Strategy

GenAI is revolutionizing software development, offering new ways to automate repetitive tasks and improve collaboration. But with these opportunities come challenges: how do you integrate AI into your workflow without disrupting creativity or team dynamics? How do you avoid over-reliance on automation while maintaining quality and efficiency? In this session, explore practical approaches to using AI for tasks like code reviews, testing, and daily development, while overcoming the productivity dips and adoption hurdles that GenAI brings in 2025. Whether you’re optimizing your own workflow or contributing to team success, you’ll leave with actionable strategies to thrive in the evolving developer landscape. 

More details coming soon!

Sri Harsha Yayi, intuit, Staff Product Manager
Vigith Maurice, Intuit, Principal Engineer

At Intuit, the ML teams encountered challenges when managing and executing inference on high-throughput streaming data. Integrating with diverse messaging systems like Kafka, Pulsar, and SQS required considerable effort, while enabling intermediate data transformations and inference added complexity. Additionally, dynamically scaling inference workflows to handle fluctuating event volumes posed unique challenges.

To address these issues, we developed Numaflow, an open-source, Kubernetes-native platform designed for scalable event processing. Numaflow simplifies connections to various event sources, empowers teams to process and infer on streaming data with ease, and integrates effortlessly with existing infrastructure. This session is ideal for ML engineers, data scientists, and anyone interested in asynchronous inference on streaming data. We’ll dive into how Numaflow eliminates bottlenecks and optimizes inference on streaming data.
 

Shomron Jacob, Iterate.ai, Head of Applied Machine Learning & Platform

This AIDev Summit session will navigate an increasingly pivotal crossroads: the decision between investing in proprietary, custom-tailored Large Language Models (LLM) or capitalizing on the versatility and ease of public generative AI services.

The session will begin by demystifying the complexities of private LLMs. With domain-specific capabilities and enhanced data security, these models have faster customization and compliance with industry-specific regulations. Yet, they also pose challenges: a bigger investment, infrastructure requirements, and ongoing maintenance. These elements necessitate a thorough examination.

Next, the session will scrutinize public generative AI services, exploring the inherent benefits of these ready-to-use solutions. With their scalability, diverse applications, and lower upfront costs, they hold significant appeal. But they also come with their own set of considerations, such as data privacy, standardized performance, and reduced control over the model’s behavior.
With real-world examples, we will walk through how various organizations have approached this decision, the results they achieved, and the invaluable lessons learned.

The session will then go into a decision-making framework, with the purpose of enabling attendees to assess their options between private LLMs and public generative AI services more effectively.

Ken Weiner, GumGum, Chief Technology Officer

From 0 to 70: How to Scale Product & Engineering Teams: A product is only as strong as the team behind it—without the right leadership and guidance, even the best ideas can fall flat. To foster growth and innovation, it's essential to have a clear strategy for scaling operations and aligning resources. Ken, who's grown GumGum’s technology team from 0 to 70+ employees, will share tactics to scale your teams, operations, and product for the long term. He’ll discuss strategies such as establishing career ladders, minimizing dependencies between teams, and leading with an innovative mindset. Additionally, he’ll highlight the importance of fostering diversity within your team to drive growth and creativity.