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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Type: 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
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

11:00am PDT

OPEN Session: Code Wars: When Two Agents Both Think They're Right
Wednesday May 28, 2025 11:00am - 11:25am PDT
Lee Faus, GitLab, Global Field CTO

In the rapidly evolving world of agentic AI, what happens when two code-savvy AI agents with strong opinions collide over a single codebase? This presentation offers a lighthearted exploration of artificial stubbornness through a simulated dialogue between two AI coding agents—each convinced their approach is superior.
Watch as "OptimizeEverything" and "CleanCodePurist" battle it out over a seemingly simple code change, spiraling into increasingly ridiculous justifications, dramatic refactorings, and passive-aggressive comments. Their back-and-forth showcases not only the technical challenges of multi-agent collaboration but also the surprisingly human-like dynamics that emerge when artificial intelligences develop strong coding "opinions."
Through this humorous demonstration, we'll examine important questions about AI alignment, conflict resolution between autonomous systems, and whether agent-based development might someday require AI therapists. Come for the coding comedy, stay for the insights into the future of collaborative AI programming—where sometimes the hardest bug to fix is an agent's wounded pride.

Speakers
avatar for Lee Faus

Lee Faus

Global Field CTO, GitLab
Lee has been a software architect, teacher, professor and educator for over 25 years. He was the first teacher to bring Java to the Association of Computing Machinery (ACM) exam back in 1995. Lee holds certifications from Novell, Microsoft, Sun, Cisco, Amazon and Google as a practitioner... Read More →
Wednesday May 28, 2025 11:00am - 11:25am PDT
AI DevSummit Expo Stage
  AI DevSummit

11:00am PDT

PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday May 28, 2025 11:00am - 11:25am PDT
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, member of the Open AI Alliance, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, Shift, JavaOne, Joker... Read More →
Wednesday May 28, 2025 11:00am - 11:25am PDT
AI DevSummit Main Stage

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
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

1:00pm PDT

OPEN Session: From LLM to SLM - How and Where to Use Specialized Language Models
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
Iddo Gino, Datawizz, CEO

LLMs have transformed many applications - putting advanced AI within any developers reach. This unlocked amazing progress - but also introduced a dependency on model providers and ballooning inference costs. This talk will discuss an alternative approach - fine tuning and deploying smaller, specialized language models to cut costs & improve performance. We'll discuss how to identify the right use cases for SLMs, evaluate their performance and deploy them effectively. 
Speakers
avatar for Iddo Gino

Iddo Gino

CEO, Datawizz
Part of Forbes 30 Under 30 list, he's a 2017 Thiel Fellow. Previously, he was a Co-organizer of Hacking Gen Y. Iddo has been programming since he was a kid and continues to contribute to open-source projects. Originally from Haifa, Israel, Iddo is based in San Francisco, CA.
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
AI DevSummit Expo Stage
  AI DevSummit

1:30pm PDT

PRO Session: Responsibly Advancing AI in Clinical Trials
Wednesday May 28, 2025 1:30pm - 1:55pm PDT
Nalini Garg, Deloitte, Senior Manager

As artificial intelligence (AI) rapidly transforms the landscape of clinical trials, the need for responsible implementation has never been more critical. This session will explore how AI can be harnessed to enhance clinical trial design, patient recruitment, data analysis, and outcome prediction, while ensuring ethical considerations are front and center.

We'll delve into the potential of AI to streamline trial processes, reduce costs, and accelerate the development of new therapies. However, with great power comes great responsibility. We'll discuss the challenges of bias, data privacy, transparency, and regulatory compliance, and how to address them to build trust in AI-driven methodologies.

Join us as we navigate the delicate balance between innovation and ethics, and discover best practices for integrating AI into clinical trials in a way that enhances accuracy, efficiency, and fairness. Whether you're a researcher, clinician, or industry professional, this session will provide valuable insights into the responsible advancement of AI in clinical trials, ensuring that technological progress benefits both science and society.
Speakers
avatar for Nalini Garg

Nalini Garg

Senior Manager, Deloitte
AI & Data leader with 14+ years of experience. Women in AI California State Ambassador. Talks about #AI in Life Sciences #Building solutions using Gemini #GenAI #Career in tech
Wednesday May 28, 2025 1:30pm - 1:55pm PDT
AI DevSummit Main Stage

2:00pm PDT

PRO Session: How to Think About Multi-Agent Systems
Wednesday May 28, 2025 2:00pm - 2:25pm PDT
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

3:00pm PDT

OPEN Session: The Road to Use OpenTelemetry for LLM Observability
Wednesday May 28, 2025 3:00pm - 3:25pm PDT
Nir Gazit, Traceloop, CEO

If 2024 is the year of LLMs, then 2025 will be the year for LLM Applications. As LLMs continue to integrate into various applications ranging from chatbots and search engines to creative writing aids, the need to monitor and comprehend their behaviors intensifies.

Observability plays a crucial role in this context. It involves the systematic collection and analysis of data to enhance LLM performance, identify and correct biases, troubleshoot issues, and ensure AI systems are both reliable and trustworthy.

In this discussion, we will explore the concept of LLM observability in depth, focusing on how OpenTelemetry can fit into the world of LLM observability . Additionally, we will talk about challenges around modeling of prompts, completions, events, semantic conventions, and basically our path with the llm-sem-conv working group.
Speakers
avatar for Nir Gazit

Nir Gazit

CEO, Traceloop
CEO @ traceloop; ex-chief architect @ Fiverr, ex-tech lead @ Google; OpenTelemetry contributor
Wednesday May 28, 2025 3:00pm - 3:25pm PDT
AI DevSummit Expo 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
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

3:30pm PDT

PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 

AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Main Stage
 
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
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

9:30am PDT

PRO Session: Building Production Ready, Intelligent Agentic Systems with Dapr Agents
Thursday May 29, 2025 9:30am - 9:55am PDT
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

10:00am PDT

PRO Session: What’s Different About LLM Applications
Thursday May 29, 2025 10:00am - 10:25am PDT
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

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
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

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
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

2:00pm PDT

PRO Session: Decoding Enterprise AI for Devs: Choosing Between Private LLMs and Public Generative AI Services
Thursday May 29, 2025 2:00pm - 2:25pm PDT
Shomron Jacob, Iterate.aiHead 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.
Speakers
avatar for Shomron Jacob

Shomron Jacob

Head of Applied Machine Learning & Platform, Iterate.ai
Shomron Jacob is the Head of Applied Machine Learning & Platform at Iterate.ai. Shomron began his career as a software engineer but soon found himself learning ML/AI and switched his professional direction to follow it. He lives in Silicon Valley.
Thursday May 29, 2025 2:00pm - 2:25pm PDT
AI DevSummit Main Stage
 
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
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

11:00am PDT

[Virtual] OPEN Session: Code Wars: When Two Agents Both Think They're Right
Wednesday June 4, 2025 11:00am - 11:25am PDT
Lee Faus, GitLab, Global Field CTO

In the rapidly evolving world of agentic AI, what happens when two code-savvy AI agents with strong opinions collide over a single codebase? This presentation offers a lighthearted exploration of artificial stubbornness through a simulated dialogue between two AI coding agents—each convinced their approach is superior.
Watch as "OptimizeEverything" and "CleanCodePurist" battle it out over a seemingly simple code change, spiraling into increasingly ridiculous justifications, dramatic refactorings, and passive-aggressive comments. Their back-and-forth showcases not only the technical challenges of multi-agent collaboration but also the surprisingly human-like dynamics that emerge when artificial intelligences develop strong coding "opinions."
Through this humorous demonstration, we'll examine important questions about AI alignment, conflict resolution between autonomous systems, and whether agent-based development might someday require AI therapists. Come for the coding comedy, stay for the insights into the future of collaborative AI programming—where sometimes the hardest bug to fix is an agent's wounded pride.

Speakers
avatar for Lee Faus

Lee Faus

Global Field CTO, GitLab
Lee has been a software architect, teacher, professor and educator for over 25 years. He was the first teacher to bring Java to the Association of Computing Machinery (ACM) exam back in 1995. Lee holds certifications from Novell, Microsoft, Sun, Cisco, Amazon and Google as a practitioner... Read More →
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

11:00am PDT

[Virtual] PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday June 4, 2025 11:00am - 11:25am PDT
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, member of the Open AI Alliance, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, Shift, JavaOne, Joker... Read More →
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage

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
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

1:00pm PDT

[Virtual] OPEN Session: From LLM to SLM - How and Where to Use Specialized Language Models
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
Iddo Gino, Datawizz, CEO

LLMs have transformed many applications - putting advanced AI within any developers reach. This unlocked amazing progress - but also introduced a dependency on model providers and ballooning inference costs. This talk will discuss an alternative approach - fine tuning and deploying smaller, specialized language models to cut costs & improve performance. We'll discuss how to identify the right use cases for SLMs, evaluate their performance and deploy them effectively. 
Speakers
avatar for Iddo Gino

Iddo Gino

CEO, Datawizz
Part of Forbes 30 Under 30 list, he's a 2017 Thiel Fellow. Previously, he was a Co-organizer of Hacking Gen Y. Iddo has been programming since he was a kid and continues to contribute to open-source projects. Originally from Haifa, Israel, Iddo is based in San Francisco, CA.
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Expo Stage
  AI DevSummit

1:30pm PDT

[Virtual] PRO Session: Responsibly Advancing AI in Clinical Trials
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
Nalini Garg, Deloitte, Senior Manager

As artificial intelligence (AI) rapidly transforms the landscape of clinical trials, the need for responsible implementation has never been more critical. This session will explore how AI can be harnessed to enhance clinical trial design, patient recruitment, data analysis, and outcome prediction, while ensuring ethical considerations are front and center.

We'll delve into the potential of AI to streamline trial processes, reduce costs, and accelerate the development of new therapies. However, with great power comes great responsibility. We'll discuss the challenges of bias, data privacy, transparency, and regulatory compliance, and how to address them to build trust in AI-driven methodologies.

Join us as we navigate the delicate balance between innovation and ethics, and discover best practices for integrating AI into clinical trials in a way that enhances accuracy, efficiency, and fairness. Whether you're a researcher, clinician, or industry professional, this session will provide valuable insights into the responsible advancement of AI in clinical trials, ensuring that technological progress benefits both science and society.
Speakers
avatar for Nalini Garg

Nalini Garg

Senior Manager, Deloitte
AI & Data leader with 14+ years of experience. Women in AI California State Ambassador. Talks about #AI in Life Sciences #Building solutions using Gemini #GenAI #Career in tech
Wednesday June 4, 2025 1:30pm - 1:55pm PDT
VIRTUAL AI DevSummit Main Stage

2:00pm PDT

[Virtual] PRO Session: How to Think About Multi-Agent Systems
Wednesday June 4, 2025 2:00pm - 2:25pm PDT
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

3:00pm PDT

[Virtual] OPEN Session: The Road to Use OpenTelemetry for LLM Observability
Wednesday June 4, 2025 3:00pm - 3:25pm PDT
Nir Gazit, Traceloop, CEO

If 2024 is the year of LLMs, then 2025 will be the year for LLM Applications. As LLMs continue to integrate into various applications ranging from chatbots and search engines to creative writing aids, the need to monitor and comprehend their behaviors intensifies.

Observability plays a crucial role in this context. It involves the systematic collection and analysis of data to enhance LLM performance, identify and correct biases, troubleshoot issues, and ensure AI systems are both reliable and trustworthy.

In this discussion, we will explore the concept of LLM observability in depth, focusing on how OpenTelemetry can fit into the world of LLM observability . Additionally, we will talk about challenges around modeling of prompts, completions, events, semantic conventions, and basically our path with the llm-sem-conv working group.
Speakers
avatar for Nir Gazit

Nir Gazit

CEO, Traceloop
CEO @ traceloop; ex-chief architect @ Fiverr, ex-tech lead @ Google; OpenTelemetry contributor
Wednesday June 4, 2025 3:00pm - 3:25pm PDT
VIRTUAL AI DevSummit Expo 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
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

3:30pm PDT

[Virtual] PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 


AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Main Stage
 
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
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

9:30am PDT

[Virtual] PRO Session: Building Production Ready, Intelligent Agentic Systems with Dapr Agents
Thursday June 5, 2025 9:30am - 9:55am PDT
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

10:00am PDT

[Virtual] PRO Session: What’s Different About LLM Applications
Thursday June 5, 2025 10:00am - 10:25am PDT
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

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
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

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
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

2:00pm PDT

[Virtual] PRO Session: Decoding Enterprise AI for Devs: Choosing Between Private LLMs and Public Generative AI Services
Thursday June 5, 2025 2:00pm - 2:25pm PDT
Shomron Jacob, Iterate.aiHead 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.
Speakers
avatar for Shomron Jacob

Shomron Jacob

Head of Applied Machine Learning & Platform, Iterate.ai
Shomron Jacob is the Head of Applied Machine Learning & Platform at Iterate.ai. Shomron began his career as a software engineer but soon found himself learning ML/AI and switched his professional direction to follow it. He lives in Silicon Valley.
Thursday June 5, 2025 2:00pm - 2:25pm PDT
VIRTUAL AI DevSummit Main Stage
 

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