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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Subject: Frameworks / Tools & Applied AI (AI DevSummit) clear filter
Wednesday, May 28
 

10:00am PDT

OPEN Session: 5 Surprising Things We Learned from Building a Software Engineering Agent
Wednesday May 28, 2025 10:00am - 10:25am PDT
AI DevSummit Expo Stage
YK Sugi, CS Dojo, Founder

Building an autonomous software engineering agent has been full of learnings. In this talk, I’ll share five unexpected lessons we’ve learned while developing an agent that takes actions on behalf of users.

First, using LLMs effectively requires a mindset shift: rather than just a cost, it’s an investment that needs leadership support and a culture that encourages experimentation.

Second, they’re surprisingly good at generating mermaid diagrams, even mapping out entire repositories.

Third, they expand the scope of what’s practical to build—making it easier to create things that would have been too time-consuming before.

Fourth, when you give people a capable agent, they'll build amazing things with it, even improving the agent itself.

And finally, using an agent to work with large codebases is possible, with a few caveats—test-driven development helps, and software engineering skills still matter.

I’ll wrap up with a live demo: fixing the agent using itself.
 
Speakers
avatar for YK Sugi

YK Sugi

Founder, CS Dojo
Founder of CS Dojo, a leading programming education platform with over 1.9 million subscribers on YouTube, dedicated to empowering individuals with the skills needed for a successful career in tech. Beyond YouTube, he actively shares insights and tips on coding, AI, and tech career... Read More →
Wednesday May 28, 2025 10:00am - 10:25am PDT
AI DevSummit Expo Stage
  AI DevSummit

11:30am PDT

PRO Session: The Future of AI-Driven Discovery: Can We Build Recommendation System That Inspire, Not Just Retain?
Wednesday May 28, 2025 11:30am - 11:55am PDT
AI DevSummit Main Stage
Jiahui (Sophia) Bai, Meta, Data Scientist Lead

This talk explores the evolving role of AI-powered recommendation systems in shaping content discovery, moving beyond engagement-driven optimization to fostering meaningful exploration. Today’s recommendation algorithms are finely tuned to maximize user retention, often reinforcing content bubbles and favoring already-popular creators. While effective for keeping users engaged, this approach can limit exposure to new ideas, diverse voices, and serendipitous discovery—key elements that make digital platforms more enriching and dynamic.

We begin by defining the core challenges of AI-driven content recommendations: noisy engagement signals, over-reliance on short-term behavioral data, and algorithmic bias toward dominant content and creators. We explore how improving signal quality—by distinguishing between passive consumption and genuine interest—can lead to more personalized yet diverse recommendations. Next, we tackle the issue of democratizing reach, discussing algorithmic strategies that ensure small and emerging creators have a fair chance to break through without compromising user satisfaction.

The session will also cover rethinking success metrics for recommendation systems, moving beyond click-through rates and watch time to metrics that measure content diversity, long-term engagement, and user well-being. Finally, we will discuss the future of AI-driven discovery, including the role of Generative AI, hybrid human-AI curation, and serendipity-focused models in creating recommendation systems that inspire, inform, and surprise users—rather than just retaining them.
Speakers
avatar for Jiahui (Sophia) Bai

Jiahui (Sophia) Bai

Data Scientist Lead, Meta
Sophia Bai is a Senior Data Scientist at Meta, specializing in AI-driven recommendation systems and product analytics. She has led key initiatives in improving signal quality, optimizing content discovery, and redesigning recommendation models to create more balanced and engaging... Read More →
Wednesday May 28, 2025 11:30am - 11:55am PDT
AI DevSummit Main Stage
  AI DevSummit

1:00pm PDT

KEYNOTE (AI): Hasura -- Path Towards 100% Accurate & Repeatable Data Agents for AI
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
Praveen Durairaju, Hasura, Field CTO

Achieving 100% accuracy in Retrieval-Augmented Generation (RAG) is critical for AI agents handling complex workflows. But most RAG architectures fail due to goal drift, incomplete reasoning, and multi-step errors.
In this session, we will cover:
Why traditional RAG and tool-calling approaches break down in real-world AI workflows.
Agentic query planning: A structured approach to eliminate errors and improve reliability.
Benchmarking results: The path to achieve 100% accuracy where existing approaches fall short, backed by benchmarks.
Engineering strategies for verifiable, repeatable AI workflows.
We’ll walk through real-world examples and show how structured planning and separate execution fixes common RAG failures.

Live Demo: See how PromptQL ensures accurate, repeatable AI actions in production environments.
Speakers
avatar for Praveen Durairaju

Praveen Durairaju

Field CTO, Hasura
Praveen is a Field CTO at Hasura with over 10 years of full-stack web dev experience. Praveen was a core contributor to open source projects like hasura/graphql-engine and works on solving data access for the AI world. Besides the day job, Praveen runs community meetups like GraphQL... Read More →
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
  5. KEYNOTES & FEATURED

2:00pm PDT

PRO Session: How to Think About Multi-Agent Systems
Wednesday May 28, 2025 2:00pm - 2:25pm PDT
AI DevSummit Main Stage
Kevin Van Gundy, Hypermode, Founder & CEO

We've made AI more complicated than it needs to be.

With buzzwords and obtuse new concepts, we've made it too difficult for the average developer to reason about agentic systems. While we're writing new kinds of programs, they're still programs nonetheless, and the core concepts of a well-architected application still hold. Fundamentally, we're attempting to write better business process automation just at a scale we've never seen before.

In this talk, Kevin will give attendees a simple, non-technical, non-buzzword-filled framework for looking at existing problems within their business and reimagining them as multi-agent systems.

We'll start by breaking down existing workflows into jobs to be done and the data needed to do those jobs. Then, map those into agents and tools. We'll then go over strategies for incrementally implementing these systems that control for output quality.
Speakers
avatar for Kevin Van Gundy

Kevin Van Gundy

Founder & CEO, Hypermode
I’m a technologist and the CEO of Hypermode. I’m originally from a farming community in central California. I’ve spent my career building for developers, data scientists, and engineers. Along the way, I’ve been lucky enough to help grow three unicorn startups over the last... Read More →
Wednesday May 28, 2025 2:00pm - 2:25pm PDT
AI DevSummit Main Stage
  AI DevSummit

3:30pm PDT

OPEN Session: Enterprise GenAI: How to Make it Simple, Safe and Secure
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Expo Stage
Debo Dutta, Nutanix, Chief AI Officer

Generative AI is reshaping industries, from healthcare to finance and beyond, offering transformative opportunities for innovation. However, deploying it effectively in enterprise settings requires navigating complex challenges around scalability and security. Debo Dutta, VP of Engineering & AI at Nutanix and founding member of MLCommons—an AI consortium advancing technology for global impact– shares his insights on integrating GenAI seamlessly while ensuring robust infrastructure and safeguarding model integrity. Debo delves into the tech stack essentials, including foundational models, fine-tuning frameworks, deployment tools, and governance systems needed to tailor to diverse business needs across industries. 
Speakers
avatar for Debo Dutta

Debo Dutta

Chief AI Officer, Nutanix
As Chief AI Officer at Nutanix (NASDAQ: NTNX; $16.97B market cap), Debo leads AI driven operations and governance, AI and ML Infra and data engineering used by the likes of Wells Fargo, Toyota and Air Liquide. Outside of his work at Nutanix, Debo is a founding member and serves as... Read More →
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Expo Stage
  AI DevSummit
 
Thursday, May 29
 

9:30am PDT

OPEN Session: From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation
Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Expo Stage
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.
Speakers
avatar for Abhai Pratap Singh

Abhai Pratap Singh

Senior Product Manager-Technical, Amazon
Abhai Pratap Singh is a Senior Product Manager-Technical at Amazon Alexa, where he leads strategic initiatives in voice AI technology. With 9 years of experience building AI-driven products used by millions, he specializes in creating human-centric AI experiences that balance innovation... Read More →
Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Expo Stage
  AI DevSummit

9:30am PDT

PRO Session: Building Production Ready, Intelligent Agentic Systems with Dapr Agents
Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Main Stage
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.
Speakers
avatar for Mark Fussell

Mark Fussell

CEO, Diagrid
CEO of Diagrid, a developer focused startup. Leader with proven track record of building innovative computing platforms, running large scale, cloud services, building OSS communities and starting new businesses.
avatar for Yaron Schneider

Yaron Schneider

Co-Founder / CTO, Diagrid
Yaron co-created the CNCF projects Dapr and KEDA while at Microsoft and led the engineering architecture for serverless container platforms that run at scale using open source technologies. Yaron is an avid lover of open source tech and distributed systems, and is a co-founder and... Read More →
Thursday May 29, 2025 9:30am - 9:55am PDT
AI DevSummit Main Stage
  AI DevSummit

10:00am PDT

PRO Session: What’s Different About LLM Applications
Thursday May 29, 2025 10:00am - 10:25am PDT
AI DevSummit Main Stage
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. 
Speakers
avatar for Nuno Campos

Nuno Campos

Founding Engineer, LangChain
I'm a founding software engineer at LangChain, creator of LangGraph, the leading LLM agent framework, and co-author of the O’Reilly book Learning LangChain. Previously I was a maintainer of other popular open source packages, such as Enzyme, and have worked for tech startups for... Read More →
Thursday May 29, 2025 10:00am - 10:25am PDT
AI DevSummit Main Stage
  AI DevSummit

10:30am PDT

KEYNOTE (AI): Google -- Agentic Future for the Enterprise
Thursday May 29, 2025 10:30am - 10:55am PDT
AI DevSummit Main Stage
Logan Ramalingam, Google Cloud, Head of AI Solutions

This session will talk about practical agent usecases for the enterprise.
 
Speakers
avatar for Logan Ramalingam

Logan Ramalingam

Head of AI Solutions, Google Cloud
Logan is currently leading the AI Solutions in Google Cloud’s Global Services Delivery. He works with customers across the North America to build complex AI solutions in the cloud. He has over 13+ years of experience in AI/ML, Data & Analytics, and SAP.
Thursday May 29, 2025 10:30am - 10:55am PDT
AI DevSummit Main Stage
  5. KEYNOTES & FEATURED

11:00am PDT

OPEN Session: AI Coding Agents: Three Keys to Successfully Scaling in the Enterprise
Thursday May 29, 2025 11:00am - 11:25am PDT
AI DevSummit Expo Stage
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.
Speakers
avatar for Rob Whiteley

Rob Whiteley

CEO, Coder
Rob Whiteley serves as CEO of Coder. Previously he was GM of NGINX. He has led marketing, product, and analyst teams for companies like Hedvig, Riverbed, and Forrester. Rob uses his experience working with enterprise IT and DevOps customers to deliver thought leadership and drive... Read More →
Thursday May 29, 2025 11:00am - 11:25am PDT
AI DevSummit Expo Stage
  AI DevSummit

1:00pm PDT

PRO Session: Numaflow: Powering Scalable Inference on Real-Time Data Streams at Intuit
Thursday May 29, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
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.
 
Speakers
avatar for Vigith Maurice

Vigith Maurice

Principal Engineer, Intuit
Vigith is a co-creator of Numaproj and Principal Software Engineer for the Intuit Core Platform team in Mountain View, California. One of Vigith's current day-to-day focus areas is the various challenges in building scalable data and AIOps solutions for both batch and high-throughput... Read More →
avatar for Sri Harsha Yayi

Sri Harsha Yayi

Staff Product Manager, Intuit
Sri Harsha Yayi is a Product Manager at Intuit, where he primarily focuses on the company's Modern SaaS Kubernetes platform, specifically within the real time event processing domain. He is the PM for Numaflow, an open-source, Kubernetes native platform designed for the real time... Read More →
Thursday May 29, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
  AI DevSummit
 
Wednesday, June 4
 

10:00am PDT

[Virtual] OPEN Session: 5 Surprising Things We Learned from Building a Software Engineering Agent
Wednesday June 4, 2025 10:00am - 10:25am PDT
VIRTUAL AI DevSummit Expo Stage
YK Sugi, CS Dojo, Founder

Building an autonomous software engineering agent has been full of learnings. In this talk, I’ll share five unexpected lessons we’ve learned while developing an agent that takes actions on behalf of users.

First, using LLMs effectively requires a mindset shift: rather than just a cost, it’s an investment that needs leadership support and a culture that encourages experimentation.

Second, they’re surprisingly good at generating mermaid diagrams, even mapping out entire repositories.

Third, they expand the scope of what’s practical to build—making it easier to create things that would have been too time-consuming before.

Fourth, when you give people a capable agent, they'll build amazing things with it, even improving the agent itself.

And finally, using an agent to work with large codebases is possible, with a few caveats—test-driven development helps, and software engineering skills still matter.

I’ll wrap up with a live demo: fixing the agent using itself.
 
Speakers
avatar for YK Sugi

YK Sugi

Founder, CS Dojo
Founder of CS Dojo, a leading programming education platform with over 1.9 million subscribers on YouTube, dedicated to empowering individuals with the skills needed for a successful career in tech. Beyond YouTube, he actively shares insights and tips on coding, AI, and tech career... Read More →
Wednesday June 4, 2025 10:00am - 10:25am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

11:30am PDT

[Virtual] PRO Session: The Future of AI-Driven Discovery: Can We Build Recommendation System That Inspire, Not Just Retain?
Wednesday June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Main Stage
Jiahui (Sophia) Bai, Meta, Data Scientist Lead

This talk explores the evolving role of AI-powered recommendation systems in shaping content discovery, moving beyond engagement-driven optimization to fostering meaningful exploration. Today’s recommendation algorithms are finely tuned to maximize user retention, often reinforcing content bubbles and favoring already-popular creators. While effective for keeping users engaged, this approach can limit exposure to new ideas, diverse voices, and serendipitous discovery—key elements that make digital platforms more enriching and dynamic.

We begin by defining the core challenges of AI-driven content recommendations: noisy engagement signals, over-reliance on short-term behavioral data, and algorithmic bias toward dominant content and creators. We explore how improving signal quality—by distinguishing between passive consumption and genuine interest—can lead to more personalized yet diverse recommendations. Next, we tackle the issue of democratizing reach, discussing algorithmic strategies that ensure small and emerging creators have a fair chance to break through without compromising user satisfaction.

The session will also cover rethinking success metrics for recommendation systems, moving beyond click-through rates and watch time to metrics that measure content diversity, long-term engagement, and user well-being. Finally, we will discuss the future of AI-driven discovery, including the role of Generative AI, hybrid human-AI curation, and serendipity-focused models in creating recommendation systems that inspire, inform, and surprise users—rather than just retaining them.
Speakers
avatar for Jiahui (Sophia) Bai

Jiahui (Sophia) Bai

Data Scientist Lead, Meta
Sophia Bai is a Senior Data Scientist at Meta, specializing in AI-driven recommendation systems and product analytics. She has led key initiatives in improving signal quality, optimizing content discovery, and redesigning recommendation models to create more balanced and engaging... Read More →
Wednesday June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

1:00pm PDT

[Virtual] KEYNOTE (AI): Hasura -- Path Towards 100% Accurate & Repeatable Data Agents for AI
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
Praveen Durairaju, Hasura, Field CTO

Achieving 100% accuracy in Retrieval-Augmented Generation (RAG) is critical for AI agents handling complex workflows. But most RAG architectures fail due to goal drift, incomplete reasoning, and multi-step errors.
In this session, we will cover:
Why traditional RAG and tool-calling approaches break down in real-world AI workflows.
Agentic query planning: A structured approach to eliminate errors and improve reliability.
Benchmarking results: The path to achieve 100% accuracy where existing approaches fall short, backed by benchmarks.
Engineering strategies for verifiable, repeatable AI workflows.
We’ll walk through real-world examples and show how structured planning and separate execution fixes common RAG failures.

Live Demo: See how PromptQL ensures accurate, repeatable AI actions in production environments.
Speakers
avatar for Praveen Durairaju

Praveen Durairaju

Field CTO, Hasura
Praveen is a Field CTO at Hasura with over 10 years of full-stack web dev experience. Praveen was a core contributor to open source projects like hasura/graphql-engine and works on solving data access for the AI world. Besides the day job, Praveen runs community meetups like GraphQL... Read More →
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
  5. KEYNOTES & FEATURED

2:00pm PDT

[Virtual] PRO Session: How to Think About Multi-Agent Systems
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL AI DevSummit Main Stage
Kevin Van Gundy, Hypermode, Founder & CEO

We've made AI more complicated than it needs to be.

With buzzwords and obtuse new concepts, we've made it too difficult for the average developer to reason about agentic systems. While we're writing new kinds of programs, they're still programs nonetheless, and the core concepts of a well-architected application still hold. Fundamentally, we're attempting to write better business process automation just at a scale we've never seen before.

In this talk, Kevin will give attendees a simple, non-technical, non-buzzword-filled framework for looking at existing problems within their business and reimagining them as multi-agent systems.

We'll start by breaking down existing workflows into jobs to be done and the data needed to do those jobs. Then, map those into agents and tools. We'll then go over strategies for incrementally implementing these systems that control for output quality.
Speakers
avatar for Kevin Van Gundy

Kevin Van Gundy

Founder & CEO, Hypermode
I’m a technologist and the CEO of Hypermode. I’m originally from a farming community in central California. I’ve spent my career building for developers, data scientists, and engineers. Along the way, I’ve been lucky enough to help grow three unicorn startups over the last... Read More →
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

3:30pm PDT

[Virtual] OPEN Session: Enterprise GenAI: How to Make it Simple, Safe and Secure
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Expo Stage
Debo Dutta, Nutanix, Chief AI Officer

Generative AI is reshaping industries, from healthcare to finance and beyond, offering transformative opportunities for innovation. However, deploying it effectively in enterprise settings requires navigating complex challenges around scalability and security. Debo Dutta, VP of Engineering & AI at Nutanix and founding member of MLCommons—an AI consortium advancing technology for global impact– shares his insights on integrating GenAI seamlessly while ensuring robust infrastructure and safeguarding model integrity. Debo delves into the tech stack essentials, including foundational models, fine-tuning frameworks, deployment tools, and governance systems needed to tailor to diverse business needs across industries. 
Speakers
avatar for Debo Dutta

Debo Dutta

Chief AI Officer, Nutanix
As Chief AI Officer at Nutanix (NASDAQ: NTNX; $16.97B market cap), Debo leads AI driven operations and governance, AI and ML Infra and data engineering used by the likes of Wells Fargo, Toyota and Air Liquide. Outside of his work at Nutanix, Debo is a founding member and serves as... Read More →
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit
 
Thursday, June 5
 

9:30am PDT

[Virtual] OPEN Session: From Technical Possibility to User Value: Product Management Strategies for Successful AI Implementation
Thursday June 5, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Expo Stage
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.
Speakers
avatar for Abhai Pratap Singh

Abhai Pratap Singh

Senior Product Manager-Technical, Amazon
Abhai Pratap Singh is a Senior Product Manager-Technical at Amazon Alexa, where he leads strategic initiatives in voice AI technology. With 9 years of experience building AI-driven products used by millions, he specializes in creating human-centric AI experiences that balance innovation... Read More →
Thursday June 5, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

9:30am PDT

[Virtual] PRO Session: Building Production Ready, Intelligent Agentic Systems with Dapr Agents
Thursday June 5, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Main Stage
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.
Speakers
avatar for Mark Fussell

Mark Fussell

CEO, Diagrid
CEO of Diagrid, a developer focused startup. Leader with proven track record of building innovative computing platforms, running large scale, cloud services, building OSS communities and starting new businesses.
avatar for Yaron Schneider

Yaron Schneider

Co-Founder / CTO, Diagrid
Yaron co-created the CNCF projects Dapr and KEDA while at Microsoft and led the engineering architecture for serverless container platforms that run at scale using open source technologies. Yaron is an avid lover of open source tech and distributed systems, and is a co-founder and... Read More →
Thursday June 5, 2025 9:30am - 9:55am PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

10:00am PDT

[Virtual] PRO Session: What’s Different About LLM Applications
Thursday June 5, 2025 10:00am - 10:25am PDT
VIRTUAL AI DevSummit Main Stage
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. 
Speakers
avatar for Nuno Campos

Nuno Campos

Founding Engineer, LangChain
I'm a founding software engineer at LangChain, creator of LangGraph, the leading LLM agent framework, and co-author of the O’Reilly book Learning LangChain. Previously I was a maintainer of other popular open source packages, such as Enzyme, and have worked for tech startups for... Read More →
Thursday June 5, 2025 10:00am - 10:25am PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit

10:30am PDT

[Virtual] KEYNOTE (AI): Google -- Agentic Future for the Enterprise
Thursday June 5, 2025 10:30am - 10:55am PDT
AI DevSummit Main Stage
Logan Ramalingam, Google Cloud, Head of AI Solutions

This session will talk about practical agent usecases for the enterprise.
 
Speakers
avatar for Logan Ramalingam

Logan Ramalingam

Head of AI Solutions, Google Cloud
Logan is currently leading the AI Solutions in Google Cloud’s Global Services Delivery. He works with customers across the North America to build complex AI solutions in the cloud. He has over 13+ years of experience in AI/ML, Data & Analytics, and SAP.
Thursday June 5, 2025 10:30am - 10:55am PDT
AI DevSummit Main Stage
  5. KEYNOTES & FEATURED

11:00am PDT

[Virtual] OPEN Session: AI Coding Agents: Three Keys to Successfully Scaling in the Enterprise
Thursday June 5, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Expo Stage
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.
Speakers
avatar for Rob Whiteley

Rob Whiteley

CEO, Coder
Rob Whiteley serves as CEO of Coder. Previously he was GM of NGINX. He has led marketing, product, and analyst teams for companies like Hedvig, Riverbed, and Forrester. Rob uses his experience working with enterprise IT and DevOps customers to deliver thought leadership and drive... Read More →
Thursday June 5, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

1:00pm PDT

[Virtual] PRO Session: Numaflow: Powering Scalable Inference on Real-Time Data Streams at Intuit
Thursday June 5, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
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.
 
Speakers
avatar for Sri Harsha Yayi

Sri Harsha Yayi

Staff Product Manager, Intuit
Sri Harsha Yayi is a Product Manager at Intuit, where he primarily focuses on the company's Modern SaaS Kubernetes platform, specifically within the real time event processing domain. He is the PM for Numaflow, an open-source, Kubernetes native platform designed for the real time... Read More →
avatar for Vigith Maurice

Vigith Maurice

Principal Engineer, Intuit
Vigith is a co-creator of Numaproj and Principal Software Engineer for the Intuit Core Platform team in Mountain View, California. One of Vigith's current day-to-day focus areas is the various challenges in building scalable data and AIOps solutions for both batch and high-throughput... Read More →
Thursday June 5, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
  AI DevSummit
 
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