GraphQLConf 2026: Full Schedule

May 19 - 20 | In-Person Only
GraphQLConf 2026 website

The Sched app allows you to build your schedule but you must also be registered for GraphQLConf 2026 to participate in the sessions.

Please note: This schedule is automatically displayed in Pacific Daylight Time (UTC-7). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

9:00am PDT

Keynote: Opening Remarks - Janette Cheng, Software Engineer, Meta

Tuesday May 19, 2026 9:00am - 9:05am PDT

Grand Ballroom II - IV

Speakers

Janette Cheng

Software Engineer, Meta

Working on the GraphQL client and build infrastructure for mobile apps at Meta

Tuesday May 19, 2026 9:00am - 9:05am PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any

9:05am PDT

Keynote: GraphQL Foundation Update - Lee Byron, Co-Creator of GraphQL and Director, GraphQL Foundation

Tuesday May 19, 2026 9:05am - 9:15am PDT

Grand Ballroom II - IV

Speakers

Lee Byron

Co-creator of GraphQL and Director, GraphQL Foundation

Foundation Update, Lee Byron GraphQLConf pdf

Tuesday May 19, 2026 9:05am - 9:15am PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any
Presentation Slides Attached Yes

9:15am PDT

Sponsored Keynote: Shaping New GraphQL Patterns from Strong Baselines - Uri Goldshtein, CEO, The Guild

Tuesday May 19, 2026 9:15am - 9:20am PDT

Grand Ballroom II - IV

Speakers

Uri Goldshtein

CEO, The Guild

Shaping New GraphQL Patterns from Strong Baselines, Uri Goldshtein GraphQLConf 2026 pdf

Tuesday May 19, 2026 9:15am - 9:20am PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any
Presentation Slides Attached Yes

9:25am PDT

Keynote: Built to Evolve: 13 Years of GraphQL - Elena Bukareva, Software Engineering Manager & Braxton Bragg, Senior Product Manager, Meta

Tuesday May 19, 2026 9:25am - 9:45am PDT

Grand Ballroom II - IV

In 2015, we promised GraphQL would be "easy to learn and use". Ten years, and hundreds of billions of daily API calls later, we've learned that not all our hopes and promises turned out to be true.

This keynote is an honest retrospective from inside Meta. We'll share which assumptions didn't survive contact with thousands of engineers, the complexity traps we fell into, and what’s driving the new wave of GraphQL adoption and popularity at Meta.

Whether you're GraphQL-curious or GraphQL-exhausted, this is a rare look behind the curtain and a preview of what re-inventing GraphQL at scale actually looks like.

Speakers

Elena Bukareva

Software Engineering Manager, Meta

Software Engineering Manager at Meta, leading the Mobile GraphQL Platform. Focused on building scalable, intuitive GraphQL infrastructure and tooling that powers mobile experiences at global scale. Passionate about platform engineering, API design, and enabling product teams to move... Read More →

Braxton Bragg

Senior Product Manager, Meta

Product manager with 13 years experience on a variety of consumer-facing products. I currently support the Mobile GraphQL platform at Meta.

Tuesday May 19, 2026 9:25am - 9:45am PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any

9:50am PDT

Keynote: Creating a Golden Path for GraphQL - Benjie Gillam, Maintainer, Graphile & Kewei Qu, Software Engineer, Meta

Tuesday May 19, 2026 9:50am - 10:00am PDT

Grand Ballroom II - IV

GraphQL's precise specification gives us incredible interoperability and a rich ecosystem of tooling to be used with any compliant GraphQL service... And yet, that hasn't led to every adopter of GraphQL having a great experience. Some leave disillusioned with performance pitfalls, security concerns, and unforeseen complexity. This can be frustrating for successful GraphQL practitioners since in many cases the solutions to these problems have existed for most of the last decade.

The Golden Path Initiative aims to make it so avoiding common pitfalls becomes the path of least resistance. By encouraging off-the-shelf GraphQL-related software to implement the recommended default behaviours, we hope that GraphQL adopters will have the greatest chance of being successful even without ingesting the vast amount of information in the ecosystem. The Golden Path is not centred on building the most optimal experience, instead it is focused on minimizing downsides: making it so users are exploring around the "pit of success", and taking them far from the "pit of despair".

But to do this will take a huge, coordinated community effort! We need successful GraphQL practitioners; maintainers of key GraphQL libraries, frameworks and tooling; and documentation writers to join us over the next 6 months as we lay out the Golden Path, its recommendations and requirements; and then next year: time to start implementing it across the ecosystem!

Speakers

Benjie Gillam

Maintainer, Graphile

A self-described "community-funded open source maintainer," Benjie dedicates much of his time to open source, made possible by the support of appreciative and forward-thinking individuals and organizations. He can often be found helping contributors advance their proposals, and has... Read More →

Kewei Qu

Software Engineer, Meta Platforms

TBD

Creating a Golden Path for GraphQL.pptx (1) pdf

Tuesday May 19, 2026 9:50am - 10:00am PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any
Presentation Slides Attached Yes

10:00am PDT

Keynote: GraphQL in the AI Era - Matt DeBergalis, CEO and Co-Founder, Apollo GraphQL

Tuesday May 19, 2026 10:00am - 10:05am PDT

Grand Ballroom II - IV

A year ago, we forecast an important role for GraphQL in an AI future. That prediction has come true, with GraphQL now serving as the foundation of critical AI initiatives at household brands in retail, hospitality, health care and many more. Just as importantly, GraphQL's declarative entity-based architecture has proven to be an ideal match for modern agentic development.

In this talk, we'll share a view of where GraphQL now sits in the modern enterprise stack, recount lessons we've learned putting MCP workloads and agentic software in production with the graph, our roadmap for an AI-first world, and a vision of where GraphQL can and must go next.

Speakers

Matt DeBergalis

CEO and co-founder, Apollo GraphQL

GraphQL 2026 Apollo Matt DeBergalis pdf

Tuesday May 19, 2026 10:00am - 10:05am PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any
Presentation Slides Attached Yes

10:05am PDT

Keynote: Closing Remarks - Janette Cheng, Software Engineer, Meta

Tuesday May 19, 2026 10:05am - 10:10am PDT

Grand Ballroom II - IV

Speakers

Janette Cheng

Software Engineer, Meta

Working on the GraphQL client and build infrastructure for mobile apps at Meta

Tuesday May 19, 2026 10:05am - 10:10am PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any

2:45pm PDT

Bringing GraphQL Natively To Relational Databases With AI - Shashank Gugnani, Oracle

Tuesday May 19, 2026 2:45pm - 3:10pm PDT

Grand Ballroom I

GraphQL offers a popular way for developers to access and interact with data. However, integrating GraphQL with enterprise databases often requires custom middleware, complex resolvers, and maintenance overhead. With Oracle AI Database 26ai, this changes: developers can now use GraphQL queries natively in the database, leveraging automated schema inference and built-in parsing with no loss of performance or scalability.

In this session, we will demonstrate Oracle’s first-class GraphQL integration, including the new table function that lets you run GraphQL queries as native SQL. We will showcase:

- How to map and query relational data with GraphQL, with built-in features for joins, predicates, ordering, & calculations.
- How LLMs can generate valid GraphQL queries from natural language, making API access approachable, and why targeting GraphQL via LLMs often delivers safer, better experiences than translating NL to SQL.

Whether you’re an architect modernizing data APIs or a developer working with complex schemas, this session will help you take advantage of the best of both relational databases and the GraphQL ecosystem, with added automation from today’s AI advancements.

Speakers

Shashank Gugnani

Senior Software Development Manager, Oracle

I am an engineering manager in the Database Transactions team at Oracle, working on the design and implementation of next-generation Oracle database products. I hold a PhD in Computer Science from Ohio State and an undergraduate degree in Computer Science from BITS-Pilani. My research... Read More →

Tuesday May 19, 2026 2:45pm - 3:10pm PDT
Grand Ballroom I

AI and LLMs

Audience Level Any

3:20pm PDT

The Invisible Fortress: Embedding Zero-Trust Governance in the Supergraph - Gaurav Singh & Sulbigar Shanawaz, Capital One

Tuesday May 19, 2026 3:20pm - 3:45pm PDT

Boardroom

In high-stakes industries, a GraphQL schema is more than a technical contract—it is a live map of your enterprise’s risk surface. For security teams, schema modifications are often "black box" events that threaten data integrity. To scale safely, we must move beyond manual gatekeeping to a Zero-Trust Supergraph where security is an invisible, automated fortress.

We will present a framework for Embedded Governance to bridge engineering and enterprise risk. Learn how to transform your graph's technical "menu" into a transparent Data Marketplace with radical observability, ensuring built-in security and compliance.

Attendees will learn to:
- Navigate the Risk Primer: Translate GraphQL features (types, fields, directives) into risk language to build organizational trust.
- Shift Security Left: Automate security with secure frameworks & replacing manual reviews.
- Architect for Data Isolation: Use of fine grained access to manage entitlements and prevent unauthorized data exposure.
- Harden the Control Plane: Reduce attack surface using technical strategies like disabling introspection and enforcing persisted query ownership.

Speakers

Gaurav Singh

Distinguished Engineer, Capital One

Gaurav Singh serves as a Distinguished Engineer and Cybersecurity Architect at Capital One. His contributions were pivotal in the enablement of GraphQL Federation throughout the enterprise, which involved the introduction of open-source GraphQL federation products , a dedicated GraphQL... Read More →

Sulbigar Shanawaz

Distinguished Engineer, Capital One

Sulbigar Shanawaz is a Distinguished Engineer at Capital One, where he leads architectural strategy for the Enterprise Entitlements platform. He specializes in centralizing customer data security by engineering robust validation frameworks for regulatory, compliance, and audit requirements across hig... Read More →

The Invisible Fortress GraphQLConf 2026 External Copy.pptx pdf

Tuesday May 19, 2026 3:20pm - 3:45pm PDT
Boardroom

Security

Audience Level Any
Presentation Slides Attached Yes

4:40pm PDT

Inverse Conway Maneuver, with GraphQL - Sam Deng, Zillow Group

Tuesday May 19, 2026 4:40pm - 5:05pm PDT

Grand Ballroom I

Left to its own devices, software companies ship its own team structure (Conway’s Law). Scale leads to data silos, unclear ownership, and an incoherent GraphQL schema. Zillow pushes back against this natural entropy.
Organizing data post hoc is untenable — trying to keep up with the legions of changing SaaS systems is a losing battle. The schema must be organized at the data producer end. This is the story of Zillow’s journey to bring order to a chaotic GraphQL schema. Starting with its most critical data domains, listings and customers, Zillow has built a canonical data schema in its federated graph, that aligns its multiple business units and streamlines data sharing.

Speakers

Sam Deng

Senior Principal Engineer, Zillow Group

Senior Principal SDE at Zillow Group by day, avid user by night. Sam Deng is catalyst for foundational platforms that power the Zillow Super App. He is a purveyor of dad jokes, software architect, former runner, and occasional AI-empowered code slinger.

Inverse Conway Maneuver with GraphQL pdf

Tuesday May 19, 2026 4:40pm - 5:05pm PDT
Grand Ballroom I

Schema Design + Evolution + Governance

Audience Level Any
Presentation Slides Attached Yes

5:15pm PDT

Understanding Your Graph, One Hash at a Time - Jens Neuse, WunderGraph

Tuesday May 19, 2026 5:15pm - 5:40pm PDT

Boardroom

Have you ever wished you could better understand how the entities in your graph behave over time? Are they cacheable? How often are they updated? How often are they accessed? What is the distribution of keys?

The primitives of GraphQL federation are simple: Entities with keys to uniquely identify them, distributed across multiple services.

The story they tell? It's a fascinating one, but nobody talks about it. Until now.
And it's not even that complicated, just a couple of hashes and we're able to learn more about your data than you ever thought possible.

Speakers

Jens Neuse

Jens Neuse (CEO WunderGraph), WunderGraph

Jens is a father to 3 kids, tries to be a good husband, is the author and a maintainer of graphql-go-tools for more than 6 years, and the CEO and Co-Founder of WunderGraph, a company that offers Cosmo, an open source GraphQL Federation platform.

Understanding Your Graph, One Hash at a Time — GraphQL Conf 2026 pdf

Tuesday May 19, 2026 5:15pm - 5:40pm PDT
Boardroom

Observability + Telemetry + Tracing

Audience Level Any
Presentation Slides Attached Yes

5:15pm PDT

Incrementally Adopting GraphQL. The Holy Grail? - Robert Balicki, Pinterest

Tuesday May 19, 2026 5:15pm - 5:40pm PDT

Grand Ballroom II - IV

Incrementally adopting GraphQL is hard. The shape of the data differs between REST and GraphQL. Components that were designed for one don't automatically work with the other. And migrating by making multiple network requests can worsen performance unacceptably. And big bang refactors? Well, if you believe those will be successful, I have some oceanfront real estate in Nebraska to sell you.

Is there a better way? Well, what if instead of contorting our frontends for multiple backends, we gave our non-GraphQL backend one crucial property: generated queries that fetch exactly the right data. Then, migrating from one backend to another is as simple (and stress-free) as running an experiment and ramping up a decider!

And Isograph makes that easy! Isograph is an opinionated, compiler-driven framework that makes it easy to build stable, performant data-driven apps, and it generates queries for just the data needed by a given screen. And crucially, it can generate multiple different versions of the same query: GraphQL, SQL, whatever your heart desires.

Finally, adopting GraphQL can be simple, stress-free, and incremental!

Speakers

Robert Balicki

Staff engineer, Pinterest

Robert Balicki works as a software engineer at Pinterest. He used to have hair down to his shoulders and play in a rock band. He works on Isograph, which you should check out!

Tuesday May 19, 2026 5:15pm - 5:40pm PDT
Grand Ballroom II - IV

Production Insights - Regular Scale

Audience Level Any

10:15am PDT

Screens on Shuffle: How Netflix Scales Server‑Driven, Ever‑Changing Pages - Sreekanth Ramakrishnan, Netflix

Wednesday May 20, 2026 10:15am - 10:40am PDT

Boardroom

How do you power a product where every page layout, module, and slice of content can change daily—across hundreds of millions of devices—without shipping a new client every time? In this talk, we’ll dive into how Netflix evolved its GraphQL APIs from traditional “data fetching” into a server‑driven UI platform, enabling rapid product innovation and page updates without requiring app releases across a massive device ecosystem. We’ll walk through the architecture that lets servers describe dynamic page structure and behavior, how those contracts scale across many product surfaces and experiments, and the performance and reliability lessons we learned operating this at Netflix scale. When we built this system, we found almost no public examples of similar patterns, so this session is intentionally practical: we’ll share concrete schema patterns, client rendering strategies, and tips you can apply to your own feeds, homepages, and highly dynamic experiences—whether you’re working at Netflix scale or just starting to stretch GraphQL beyond CRUD.

Speakers

Sreekanth Ramakrishnan

Senior Software Engineer, Netflix

Sreekanth Ramakrishnan is a Senior Software Engineer on the Member API team at Netflix, where he works on systems that power dynamic, real-time experiences in Netflix pages across devices worldwide. He focuses on GraphQL, distributed systems, and server-driven UI architecture. Prior... Read More →

Screens on Shuffle pdf

Wednesday May 20, 2026 10:15am - 10:40am PDT
Boardroom

Schema Design + Evolution + Governance

Audience Level Any
Presentation Slides Attached Yes

10:50am PDT

GraphQL Meets LLMs & Agents: Building Production AI at Starbucks Scale - Sharon Gorla, Starbucks

Wednesday May 20, 2026 10:50am - 11:15am PDT

Boardroom

GraphQL isn't just an API technology—it's the perfect foundation for AI agents and LLM-powered applications. At Starbucks, we built GraphQL platforms at massive scale (180M+ queries/day, 10,000 stores, 31M+ app users) before GenAI became mainstream. Now, as we explore AI integration, we're discovering that GraphQL provides fundamental advantages for AI that are impossible with REST.

This talk explores the AI systems we're building on our existing GraphQL infrastructure:

In-store AI assistant (planned for Order Engine GraphQL BFF)
Mobile/web AI platform (exploring on Apollo Supergraph)
On-call automation using Model Context Protocol (MCP) servers
You'll learn how GraphQL reduces AI token costs by 75x, enables zero-configuration AI tool discovery, provides built-in guardrails through type systems, and why federation is the perfect architecture for enterprise AI agents. Real demos, proven patterns, lessons from building GraphQL at scale.

Speakers

Sharon Gorla

Engineer Lead, Starbucks

I’m an engineering leader with 16+ years of experience driving digital transformation, modernizing systems, and building high-performing teams. At Starbucks, I'm lead engineer for Next‑Gen POS modernization, earned a U.S. patent, and founded the GraphQL Community of Practice... Read More →

GraphQL Meets LLMs Final pdf

Wednesday May 20, 2026 10:50am - 11:15am PDT
Boardroom

AI and LLMs

Audience Level Any
Presentation Slides Attached Yes

11:25am PDT

How GraphQL Helped Create Scalability and Stability in the Retirement Space. - Cameron Sechrist, Stax.ai

Wednesday May 20, 2026 11:25am - 11:50am PDT

Grand Ballroom I

Retirement data is surprisingly complicated, from provisions to participant payroll data to plan sponsor's unique needs. This presents a complicated and heavy requirement to fetch data points that provide the value, and regulatory requirements, that third party administrators require. GraphQL provides this, it allows specific data to be fetched at each stage of the plan lifecycle, without requiring us to fetch all of the data that we have. This allowed our platform to decrease latency by 30%, load time by 1 second, and server load by 50%.

Speakers

Cameron Sechrist

Head of Engineering, Stax.ai

Cameron Sechrist is a dynamic software engineer, seasoned entrepreneur, and compliance expert with over a decade of experience driving technological innovation and ensuring robust data security across diverse industries. His entrepreneurial journey began remarkably early, with his... Read More →

Wednesday May 20, 2026 11:25am - 11:50am PDT
Grand Ballroom I

Production Insights - Regular Scale

Audience Level Any

12:00pm PDT

GraphQL Embeddings: AI-Powered Dynamic Operations From Schema To IDE - Michael Watson, Self

Wednesday May 20, 2026 12:00pm - 12:25pm PDT

Grand Ballroom II - IV

What if your GraphQL API could understand what developers need and generate valid operations from plain English? This talk introduces graphql-embedding, an open-source toolkit that parses GraphQL schemas into vector embeddings, stores them in a vector store, and uses a multi-agent LLM pipeline to generate validated GraphQL operations from natural language input.

The architecture is fully modular: swap vector stores between PGLite for local development and PostgreSQL for production, choose from Ollama, OpenAI, or Anthropic as LLM providers, and extend with your own. A key design decision was bundling a lightweight embedding model directly in the package, enabling local CPU inference with no external API calls, cloud dependencies, or GPU required. The entire pipeline to generate a operation works with small, efficient models like QWen 2.5 running locally via Ollama.

Everything ships as a VS Code extension called GraphQL Workbench, putting schema embedding and natural language operation generation directly in the developer's workflow. All packages, models, and the extension are fully open source under the MIT license.

Speakers

Michael Watson

Principal Developer Relations Engineer, Expedia Group

Michael Watson was Head of Developer Relations at Apollo GraphQL, where he's spent ~8 years helping enterprises adopt GraphQL at scale. He founded the MCP Server Builder Series, a 3,000+ developer community with events in SF, NYC, London, and Amsterdam. Michael has delivered keynotes... Read More →

Wednesday May 20, 2026 12:00pm - 12:25pm PDT
Grand Ballroom II - IV

AI and LLMs

Audience Level Any

1:55pm PDT

Observability for a Multi-Tenant GraphQL Gateway at Scale - Vickey Yeh, Airbnb

Wednesday May 20, 2026 1:55pm - 2:20pm PDT

Grand Ballroom I

Viaduct, Airbnb's unified data access layer, hosts over 1.5M lines of application code from 500+ tenants, with 200+ changes merged daily—all operating as a single service. At this scale, enabling teams to independently monitor and troubleshoot their code is essential.
This talk describes how we approach observability with multitenancy at the core:
- Establishing clear ownership of modules and attributing metrics, spans, and errors to those owners
- Providing alerts and dashboards at multiple levels: system, operation, tenant, and field
- Enabling schema-driven alerting, where tenants declaratively specify monitoring requirements directly in the schema and the platform implements them automatically
- Using execution traces to visualize query execution and core-tenant interactions, tackling challenges like:
- Representing batched dataloader calls (where N field requests become 1 RPC)
- Instrumenting downstream service clients across all data-fetching code
- Managing observability costs via selective sampling and cardinality-aware metrics

Our goal: empower tenants to manage their portion of Viaduct as a standalone service—without bottlenecking on the platform team.

Speakers

Vickey Yeh

Senior Software Engineer, Airbnb

I work on Viaduct, Airbnb's GraphQL-based data-oriented service mesh.

observability multi tenant graphql at scale pdf

Wednesday May 20, 2026 1:55pm - 2:20pm PDT
Grand Ballroom I

Observability + Telemetry + Tracing

Audience Level Any
Presentation Slides Attached Yes

2:30pm PDT

Sharding a GraphQL Gateway for Blast Radius Reduction - Linquan Zhang & Cetin Sahin, Airbnb

Wednesday May 20, 2026 2:30pm - 2:55pm PDT

Boardroom

At Airbnb, our GraphQL gateway is a multi-tenant serverless platform hosting 500+ tenants and 1.5M+ lines of application code. Like many large GraphQL systems, it operated as a "shared fate" architecture. To mitigate this risk, we embarked on a multi-year journey to implement traffic sharding at different levels of sophistication. We started with shuffle sharding to reduce the blast radius of any single bad operation. We then added targeted sharding to separate online from asynchronous traffic, to rapidly quarantine misbehaving operations, and to improve the signal-to-noise ratio for our automated canary analysis. Most recently, to mitigate the risk posed by tenants that are used by lots of operations (and thus could bring down lots of shards), we have been working on tenant-aware sharding that minimizes the blast radius of such tenants.

We will cover how we architected our sharding solution and how it improved our operational abilities. You will gain a clear understanding of how our implementation tradeoffs have fared over time, key production insights gathered since rollout, and strategies to evolve a GraphQL gateway towards greater isolation without fragmenting the API surface.

Speakers

Linquan Zhang

Individual Contributor, Airbnb

I work on Viaduct, Airbnb's GraphQL-based system that provides a unified interface for accessing and interacting with any data source at Airbnb.

Cetin Sahin

Staff Software Engineer, Airbnb

Cetin works on Viaduct, Airbnb’s multi-tenant GraphQL platform that provides a unified interface for accessing and interacting with any data source at Airbnb. His work centers on reliability, performance, and observability at scale.

Sharding a GraphQL Gateway for Blast Radius Reduction pdf

Wednesday May 20, 2026 2:30pm - 2:55pm PDT
Boardroom

Servers

Audience Level Any
Presentation Slides Attached Yes

3:05pm PDT

GraphQL Data Mocking at Scale With LLMs and @generateMock - Michael Rebello, Airbnb

Wednesday May 20, 2026 3:05pm - 3:30pm PDT

Boardroom

Producing valid and realistic mock data for prototyping and testing has been an unsolved challenge for years. Mock data is tedious to write and maintain, but attempts to improve the process such as random value generation and field stubbing fall short as they lack essential domain context to make test data realistic and meaningful.
In this talk, I’ll share how we’ve reimagined GraphQL mocking at Airbnb by combining existing GraphQL infrastructure, rich product and schema context, and LLMs to generate convincing, type-safe mock data simply by adding a directive (@generateMock) to a field or operation:
- How integrating LLMs that are highly contextualized by a schema, documentation, and UX design into existing GraphQL tools drives a leap forward in the speed and quality of mock data creation.
- How a directive-driven approach lets engineers generate production-like, schema-conformant mock data without writing code.
- How integrating generated mock data into the GraphQL client runtime can enable engineers to build and test clients before server implementation.
- How this strategy guarantees that generated mock data is correct, deterministic, and stays in-sync with the server schema.

Speakers

Michael Rebello

Staff Engineer, Airbnb

Michael is a Staff Engineer at Airbnb focusing on GraphQL clients, with >10 years of tech experience. Previously, he spent 6 years at Lyft as Staff Engineer leading mobile networking, building the rider app, and contributing to their engineering blog. He's spoken at conferences globally... Read More →

GraphQL Data Mocking at Scale with LLMs and generateMock pdf

Wednesday May 20, 2026 3:05pm - 3:30pm PDT
Boardroom

AI and LLMs

Audience Level Any
Presentation Slides Attached Yes

3:50pm PDT

Changing the Game for Trusted Documents — What If Your Whole Platform Natively Supported It? - Laurin Quast & Denis Badurina, The Guild

Wednesday May 20, 2026 3:50pm - 4:15pm PDT

Boardroom

Trusted documents (persisted queries) are one of the most powerful tools in the GraphQL security and performance toolkit. By restricting your API to only pre-approved operations, you eliminate entire classes of attacks, reduce payload sizes, and gain full visibility into client behavior. Yet most struggle to adopt them – the tooling is fragmented, the workflow is manual, and the deployment story is an afterthought.

What if your entire platform natively supported trusted documents from end to end? In this talk, I’ll show what becomes possible when persisted queries are first-class citizens of your GraphQL platform – from registration and version through CI/CD validation to production deployment and rollback. But trusted documents aren’t just for GraphQL clients. I’ll explore how they unlock new capabilities: exposing GraphQL operations as simple REST endpoints, and even powering MCP tools for AI agents – all built on the same foundation of pre-approved, governed operations.

You’ll leave with a clear picture of what a complete trusted documents platform looks like and practical steps to get there.

Speakers

Denis Badurina

Denis from The Guild, The Guild

I am a self-taught senior software architect, with a distinguishing trait of resiliently finding simple solutions to complex problems using communication through words and code.

Starting from my first Lego set, I've been in love with development throughout my whole life. As a creator, having the ability to turn thoughts into reality is a gift I find essential. Forever learning through practical applications, bad decisions and positive thoughts - I, ulti... Read More →

Laurin Quast

Developer, The Guild

Laurin Quast is a developer that started exploring GraphQL, by leading API development at a start-up. Realizing that there are still many unsolved problems and challenges within the space, he started contributing to famous JavaScript libraries, such as GraphQL Code Generator. Diving... Read More →

Wednesday May 20, 2026 3:50pm - 4:15pm PDT
Boardroom

Clients

Audience Level Any

4:25pm PDT

Lightning Talk: DoS Wars: Revenge of the Fragments - Sachin Shinde, Apollo GraphQL

Wednesday May 20, 2026 4:25pm - 4:35pm PDT

Grand Ballroom II - IV

Fragments—an indispensable tool for modularizing data requirements alongside client code, but also a denial-of-service attack vector for servers. Security guides will tell you to mitigate by validating queries and performing cost analysis, usually via field costs and list sizes. However, this focus on field execution can distract from how fragments affect the rest of the server stack. In this lightning talk, we explore the attack patterns and mitigation strategies for the fragment-based vulnerabilities at the core of CVE-2025-31496, CVE-2025-32030, CVE-2025-32033, and CVE-2025-32034.

Speakers

Sachin Shinde

Staff Software Engineer, Apollo GraphQL

Working on all things federation and orchestration at Apollo, previously worked on the Apollo Studio schema and metrics pipelines.

DoS Wars Revenge of the Fragments pdf

Wednesday May 20, 2026 4:25pm - 4:35pm PDT
Grand Ballroom II - IV

Security

Audience Level Any
Presentation Slides Attached Yes

4:40pm PDT

Sponsored Lightning Talk: Search and Execute with Code Mode Backed by the Graph - Jens Neuse & Ahmet Soormally, Wundergraph

Wednesday May 20, 2026 4:40pm - 4:50pm PDT

Grand Ballroom II - IV

Speakers

Ahmet Soormally

Principal Engineer, Wundergraph

Ahmet Soormally is a Principal Engineer at WunderGraph, where he helps organizations build and scale modern graph platforms. His work focuses on graph consumption across multiple protocols - including GraphQL, REST, gRPC, Connect, and MCP for AI agents - helping teams design APIs... Read More →

Jens Neuse

Jens Neuse (CEO WunderGraph), WunderGraph

Wednesday May 20, 2026 4:40pm - 4:50pm PDT
Grand Ballroom II - IV

Federation + Distributed Systems

Audience Level Any

5:00pm PDT

Keynote: GraphQL’s Next Chapter: Progress, Proposals, and Participation - Pascal Senn, COO, Chillicream & Mark Larah, Group Tech Lead, Yelp

Wednesday May 20, 2026 5:00pm - 5:20pm PDT

Grand Ballroom II - IV

GraphQL has always been a community driven project. In this closing keynote, we will look at what the GraphQL Working Groups have been building and the progress made across the specification and ecosystem. We will also highlight the GraphQL GAP proposal and explore how it can open new opportunities for collaboration. Join us as we reflect on how far GraphQL has come and how the community can help shape what comes next.

Speakers

Pascal Senn

COO, ChilliCream

I'm co-founder of ChilliCream, where we're passionate about advancing the GraphQL ecosystem. We develop and maintain open-source software, actively help and participate in the community, and create tools that help developers to get the most out of their GraphQL APIs. Since 2025, I’ve... Read More →

Mark Larah

Group Tech Lead, Yelp

Wednesday May 20, 2026 5:00pm - 5:20pm PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any

5:20pm PDT

Keynote: Closing Remarks - Lee Byron, Co-Creator of GraphQL and Director, GraphQL Foundation

Wednesday May 20, 2026 5:20pm - 5:30pm PDT

Grand Ballroom II - IV

Speakers

Lee Byron

Co-creator of GraphQL and Director, GraphQL Foundation

Wednesday May 20, 2026 5:20pm - 5:30pm PDT
Grand Ballroom II - IV

Keynote Sessions

Audience Level Any

9:00am PDT

9:05am PDT

9:15am PDT

9:25am PDT

9:50am PDT

10:00am PDT

10:05am PDT

2:45pm PDT

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