AI DevSummit 2025 + DeveloperWeek Leadership 2025: Full Schedule

arrow_back View All Dates

9:00am PDT

Tesla Self Driving Demonstrations

Thursday May 29, 2025 9:00am - 3:00pm PDT

South San Francisco Conference Center - Expo Hall

Thursday May 29, 2025 9:00am - 3:00pm PDT
South San Francisco Conference Center - Expo Hall

Session Type OPEN Session, PRO Session
In-Person/Virtual In Person

9:00am PDT

Arcade Lounge

Thursday May 29, 2025 9:00am - 3:00pm PDT

South San Francisco Conference Center - Expo Hall

Arcade Lounge
Chill in the lounge & try your hand at Pac-Man & other retro games!

Thursday May 29, 2025 9:00am - 3:00pm PDT
South San Francisco Conference Center - Expo Hall

2. Community Events & Experiences

Session Type PRO Session, OPEN Session
Tracks OPEN Session
In-Person/Virtual In Person

9:00am PDT

Community Board

Thursday May 29, 2025 9:00am - 3:00pm PDT

South San Francisco Conference Center - Expo Hall

Add your stamp to the Community Board – doodle away, share an idea or ask a question.
Location: Expo Hall Arcade Lounge

Thursday May 29, 2025 9:00am - 3:00pm PDT
South San Francisco Conference Center - Expo Hall

2. Community Events & Experiences

Session Type PRO Session, OPEN Session
Tracks OPEN Session
In-Person/Virtual In Person

9:00am PDT

Game Lounge

Thursday May 29, 2025 9:00am - 3:00pm PDT

South San Francisco Conference Center - Expo Hall

Play a game or two as you wait for the next session to begin!

Stop by an play your favorite game — Checkers, Giant Jenga, Corn Hole & More.

Thursday May 29, 2025 9:00am - 3:00pm PDT
South San Francisco Conference Center - Expo Hall

2. Community Events & Experiences

Session Type PRO Session, OPEN Session
Tracks OPEN Session
In-Person/Virtual In Person

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

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.

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

Additional Topics Agents, LLMs, AI-driven Automation, AI in the Cloud, AI Product Strategy, AI Integration Strategy
Session Type PRO Session
Tracks AI DevSummit, Frameworks / Tools & Applied AI (AI DevSummit), Productizing AI (AI DevSummit)
In-Person/Virtual In Person

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

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

Additional Topics LLMs
Session Type PRO Session
Tracks AI DevSummit, Frameworks / Tools & Applied AI (AI DevSummit)
In-Person/Virtual In Person

11:00am PDT

PRO Session: Dev Productivity Will Dip Before It Soars. The Pains and Gains of GenAI in Software Development

Thursday May 29, 2025 11:00am - 11:25am PDT

AI DevSummit Main Stage

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.

Speakers

Ben Lloyd Pearson

Director, DevEx Strategy, LinearB

Ben hosts Dev Interrupted, a podcast and newsletter for engineering leaders, and is Director of DevEx Strategy at LinearB. Ben has spent the last decade working in platform engineering and developer advocacy to help teams improve workflows, foster internal and external communities... Read More →

Thursday May 29, 2025 11:00am - 11:25am PDT
AI DevSummit Main Stage

DeveloperWeek Leadership

Additional Topics Generative AI, AI Integration Strategy, Developer Career Paths, Learning and Development, AI Strategy and Leadership, SCRUM
Session Type PRO Session
Tracks DeveloperWeek Leadership, AI DevSummit
In-Person/Virtual In Person

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

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 →

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

Additional Topics AI Product Strategy, AI Integration Strategy, Machine Learning
Session Type PRO Session
Tracks AI DevSummit, Frameworks / Tools & Applied AI (AI DevSummit), Productizing AI (AI DevSummit)
In-Person/Virtual In Person

1:30pm PDT

PRO Session: AI Agents in Software Engineering: Can Autonomous AI Teams Build and Maintain Code

Thursday May 29, 2025 1:30pm - 1:55pm PDT

AI DevSummit Main Stage

Tanush Sharanarthi, IBM, Staff Software Engineer

AI-powered coding assistants like GitHub Copilot have changed how developers write code, but what if AI could go beyond assisting and work together as a team? This talk explores the potential of multi-agent AI systems, where different AI agents take on specialized roles—one writing code, another reviewing it, a third optimizing performance, and another refactoring—to collaboratively build and maintain software with minimal human input. We’ll dive into real-world applications, emerging research, and the challenges of AI-driven development, from debugging AI-generated code to ensuring reliability. Attendees will gain insight into the future of AI-powered software engineering, whether AI can function as independent development teams, and what this means for the role of human engineers.

Speakers

Tanush Sharanarthi

Staff Software Engineer, IBM

Tanush Sharanarthi is a Staff Software Engineer at IBM Silicon Valley Labs with a strong background in software development and artificial intelligence. His work focuses on AI-driven development, large language models, and building intelligent automation systems. He has served as... Read More →

Thursday May 29, 2025 1:30pm - 1:55pm PDT
AI DevSummit Main Stage

AI DevSummit

Session Type PRO Session
Tracks AI DevSummit, Frameworks / Tools & Applied AI (AI DevSummit), Machine Learning / Models & Architectures (AI DevSummit)
In-Person/Virtual In Person

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

AI DevSummit Main Stage

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.

Speakers

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

AI DevSummit

Additional Topics Generative AI, LLMs, Governance and Regulation, AI Integration Strategy, AI Product Strategy, Technical Decision Making, AI Strategy and Leadership
Session Type PRO Session
Tracks AI DevSummit, AI Leadership & Strategy (AI DevSummit), DeveloperWeek Leadership, Strategy / Methodology & Tooling (DeveloperWeek Leadership), Machine Learning / Models & Architectures (AI DevSummit)
In-Person/Virtual In Person

2:30pm PDT

PRO Session: Building Robust Data Pipelines for Scalable Machine Learning

Thursday May 29, 2025 2:30pm - 2:55pm PDT

AI DevSummit Main Stage

Rachita Naik, Lyft, Machine Learning Engineer

This session will provide a comprehensive, hands-on guide to designing efficient, production-ready data pipelines for machine learning model training. Tailored for engineers, ML practitioners, and architects, this talk will break down key technical aspects of data processing, feature management, and pipeline optimization at scale.
Key takeaways include -
1. Optimized Data Ingestion: Efficiently processing real-time and batch data from multiple sources while minimizing latency and ensuring smooth data flow for ML models.
2. Reusable & Scalable Features: Designing centralized feature stores that enable cross-model sharing, reduce redundancy, and support large-scale ML operations.
3. Robust Data Preprocessing: Implementing techniques to clean, transform, and structure raw data, ensuring high-quality inputs that improve model accuracy and efficiency.
4. Ensuring Data Consistency: Maintaining parity between offline training and real-time inference by preventing schema mismatches, data drift, and inconsistencies.
5. Proactive Monitoring & Debugging: Using automated tracking, anomaly detection, and logging to identify bottlenecks, optimize pipeline performance, and ensure data reliability.

This session will combine technical deep dives with real-world lessons from deploying ML pipelines at scale in rideshare applications. Whether you’re designing your first ML pipeline or optimizing existing workflows, you’ll walk away with practical strategies to enhance data efficiency, model reliability, and overall system performance.

Speakers

Rachita Naik

Machine Learning Engineer, Lyft

Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a distinguished graduate of Columbia University. With a strong foundation in AI and two years of professional experience, she is dedicated to creating transformative solutions that address complex, real-world challenges... Read More →

Thursday May 29, 2025 2:30pm - 2:55pm PDT
AI DevSummit Main Stage

AI DevSummit

Additional Topics Machine Learning
Session Type PRO Session
Tracks AI DevSummit, Machine Learning / Models & Architectures (AI DevSummit), Data Access / Management & Operations (AI DevSummit)
In-Person/Virtual In Person