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AI DevSummit 2025 + DeveloperWeek Leadership 2025
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Thursday, June 5
 

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

10:30am PDT

[Virtual] PRO Session: So You Want to Hire for Platform Engineering?
Thursday June 5, 2025 10:30am - 10:55am PDT
Hazel Weakly, Nivenly Foundation, Fellow

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

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

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

Hazel Weakly

Fellow, Nivenly Foundation
Hazel spends her days working on building out teams of humans as well as the infrastructure, systems, and tooling to make life better for others. She’s worked at a variety of companies and knows that the hardest problems to solve are the social ones. One of her favorite things is... Read More →
Thursday June 5, 2025 10:30am - 10:55am PDT
VIRTUAL DeveloperWeek Leadership Main Stage

11:00am PDT

[Virtual Exclusive] PRO Session: Designing Architecture Flow
Thursday June 5, 2025 11:00am - 11:25am PDT
Ivan Padabed, PandaDoc, Director of Platform Architecture

In this session, we’ll explore the essential role of the architect as an accountable decision-maker and how they can optimize their workflow to ensure the right decisions are made at the right time. We’ll discuss why relying solely on an architect’s mental capacity is a bottleneck, how decision-making infrastructure tailored to organizational specifics enables speed and quality, and what best practices can help architects scale their effectiveness in high-growth environments.

Drawing from years of experience building and refining architectural decision-making pipelines in fast-paced, high-tech organizations, the speaker will share practical insights on:
• Structuring decision flows to ensure the right information is available at the right moment.
• Creating a collaborative environment where architectural decisions are well-informed and transparent.
• Designing a decision-making infrastructure that fosters consistency, speed, and quality.
• Avoiding common pitfalls that lead to decision paralysis, misalignment, and bottlenecks.

This session is for architects, engineering leaders, and decision-makers looking to improve architectural effectiveness and scale decision-making without sacrificing quality or agility. Join us to rethink how architecture flows in your organization.
Speakers
avatar for Ivan Padabed

Ivan Padabed

Director of Platform Architecture, PandaDoc
Over 20 years in IT, doing business, product, service, and organization re-engineering to scale. Came to DDD as a core practice through systems thinking. An advocate of the evolutional approach.Enterprise Architecture practitioner, Solution Architecture methodologist, and Systems... Read More →
Thursday June 5, 2025 11:00am - 11:25am PDT
VIRTUAL DeveloperWeek Leadership Main Stage

11:00am PDT

[Virtual] PRO Session: Dev Productivity Will Dip Before It Soars. The Pains and Gains of GenAI in Software Development
Thursday June 5, 2025 11:00am - 11:25am PDT
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
avatar for Ben Lloyd Pearson

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 June 5, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage

11:30am PDT

[Virtual] PRO Session: Leading Engineering Teams in the Age of AI
Thursday June 5, 2025 11:30am - 11:55am PDT
Rajni Sharma, Paylocity, Tech Leader

How leaders can rethink software development and engineering workflows with AI-driven automation.
Speakers
avatar for Rajni Sharma

Rajni Sharma

Tech leader, Paylocity
Rajni is a seasoned tech leader with 20 years of experience building innovative products at companies ranging from startups to global tech giants like Apple,Amazon, eBay, Rubrik and Microsoft. A member of the Forbes Technology Council, she is a passionate advocate for diversity in... Read More →
Thursday June 5, 2025 11:30am - 11:55am PDT
VIRTUAL DeveloperWeek Leadership Main Stage

1:00pm PDT

CANCELLED -- [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 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 June 5, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage

1:00pm PDT

[Virtual Exclusive] PRO Session: Building a Future-Proof Tech Stack: Balancing Innovation and Stability
Thursday June 5, 2025 1:00pm - 1:25pm PDT
Gaganjot Kaur Kang, Sony Interactive Entertainment, Staff Software Engineer 

This session will explore strategies for creating a technology stack that balances the need for innovation with the importance of stability. Attendees will learn how to evaluate emerging technologies, assess their long-term viability, and integrate them without compromising system reliability. Key considerations will include adopting flexible architectures, managing technical debt, ensuring scalability, and selecting tools that can evolve with changing business requirements. The session will offer practical insights on how to make informed decisions that keep teams agile while preparing for future challenges. 
Speakers
avatar for Gaganjot Kaur Kang

Gaganjot Kaur Kang

Staff Software Engineer, Sony Interactive Entertainment (PlayStation)
Gaganjot Kaur Kang is a Staff Software Engineer within Sony PlayStation’s Intelligence Platform and Personalization team. With over ten years of experience in the technology industry and six-plus years at Sony's gaming division, Gaganjot has been committed to designing and developing... Read More →
Thursday June 5, 2025 1:00pm - 1:25pm PDT
VIRTUAL DeveloperWeek Leadership Main Stage

1:30pm PDT

[Virtual] PRO Session: AI Agents in Software Engineering: Can Autonomous AI Teams Build and Maintain Code
Thursday June 5, 2025 1:30pm - 1:55pm PDT
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
avatar for Tanush Sharanarthi

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 June 5, 2025 1:30pm - 1:55pm 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

2:30pm PDT

[Virtual] PRO Session: Building Robust Data Pipelines for Scalable Machine Learning
Thursday June 5, 2025 2:30pm - 2:55pm PDT
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
avatar for Rachita Naik

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 June 5, 2025 2:30pm - 2:55pm PDT
VIRTUAL AI DevSummit Main Stage
 

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