Siddharth Dayalwal
Senior Developer Community Specialist, Storyblok
Vadodara, India
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Siddharth Dayalwal is a Senior Developer Community Specialist at Storyblok, where he leads developer programs, manages partner and MVP initiatives, and builds community within the headless CMS space. With over five years of experience in developer relations, Siddharth has helped countless developers innovate, hackathons thrive, and communities grow.
Outside his full-time role, Siddharth runs Hack This Fall, one of India's most vibrant hacker communities. He has been a GitHub Field Expert, and DigitalOcean Navigator, and has served as a Major League Hacking APAC Hackathon Coach, guiding organizers and participants toward exceptional hackathon experiences.
An explorer at heart and an eternal optimist, Siddharth loves to travel, connect with nature, indulge in good food, and immerse himself in music. He's always up for a meaningful conversation about community, content, or the future of the web.
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Agent Security, Monitoring, and Governance for Structured Content
Most conversations about agent security focus on prompt injection and model behavior, but the data layer an agent reads and writes to needs its own governance model, and it's usually the part teams forget. This talk covers three practical layers: scoping what an agent can access (read-only vs. write, draft vs. published), logging and auditing agent-initiated changes so you can actually answer "what did the agent do and when," and building in rollback so a bad automated edit is recoverable, not catastrophic. Grounded in real content-system architecture, with concrete patterns you can apply regardless of which agent framework you're using.
MCP for Content: Giving AI Agents a Reliable Source of Truth
AI agents are increasingly making decisions based on content they read from external systems, and a surprising amount of that content is ambiguous, stale, or inconsistently structured. This talk covers exposing a content model via an MCP (Model Context Protocol) server so agents get a source of truth they can actually trust: clean, typed schemas instead of freeform blobs, scoped permissions so an agent can read or write only what it should, and versioning so a bad agent edit isn't a permanent one. Drawn from real integration work in the headless CMS space, this is a practical look at what "agent-ready" content architecture actually requires, not just a demo of an API call.
Vector Databases for Web Developers: Beyond Search and Chatbots
Vector databases are often associated with AI search and chatbots, but their real potential goes much further. This session explains how vectorized data enables semantic understanding, recommendations, clustering, and intelligent automation in modern web platforms, with practical guidance tailored for web developers.
MCP for Content: Making Your Headless CMS Speak Agent
AI agents are becoming a first-class consumer of web content, right alongside browsers and mobile apps. But most CMS architectures were never designed to be queried, reasoned about, or edited by an autonomous agent.
This talk walks through what it actually takes to expose a headless CMS's content graph through an MCP (Model Context Protocol) server: structuring content models so agents can navigate them reliably, handling auth and permissions for agent-initiated writes, versioning and rollback when an agent gets it wrong, and the schema decisions that make the difference between an agent that "sort of works" and one you can trust in production.
Drawing on real integration work in the headless CMS space, attendees will leave with a concrete architecture pattern they can adapt – not a demo, a blueprint.
From Monolith to Composable: A Practical Playbook for Migrating Your CMS Without Breaking Everything
Migrating off a legacy, monolithic CMS is one of those projects everyone dreads and most teams get wrong at least once.
This talk is a practitioner's playbook, not a vendor pitch: how to sequence an incremental migration instead of a risky big-bang cutover, how to make content-modeling decisions that won't need to be redone in 18 months, where teams typically underestimate effort (editorial workflows, redirects, SEO continuity, training non-technical content teams), and how to actually calculate the ROI case your leadership will ask for.
Based on real-world enterprise migrations, attendees will leave with a checklist they can apply immediately, regardless of which composable stack they land on.
Creating Scalable & Flexible Web Applications: A Headless Approach
This talk will explore the benefits of using a headless approach for web development and how it can be used to create scalable and flexible web applications. We will discuss how a headless CMS can be used to manage and deliver content, while the frontend and backend are decoupled, allowing for more efficient development and deployment. The talk will cover best practices for integrating a headless CMS with your frontend and backend and will provide examples of real-world applications that have utilized this approach to achieve success. Attendees will gain a deeper understanding of how a headless approach can improve their web development workflow and enable them to build more dynamic, responsive, and scalable web applications.
Composable Content in the Age of AI Agents: Rethinking CMS Architecture
"AI-ready" content isn't a checkbox – it's an architecture decision. This session makes the case that composable, component-driven content modeling (the same headless-CMS patterns that gave us multi-channel delivery to web, mobile, and voice) is exactly the foundation AI agents need to reliably crawl, understand, and act on your content.
We'll cover what makes a content model legible to an LLM versus a human editor, why flat page-builder content breaks agent workflows while structured components don't, and how teams are already extending their content architecture to serve agentic experiences (chat interfaces, autonomous research tools, personalization engines) without duplicating their content pipeline. This is an architecture talk for engineers and technical leads deciding how to future-proof their content layer.
AI as Infrastructure, Not a Feature: Rethinking Application Design
Many teams treat AI as a UI feature layered onto existing systems. This session challenges that approach and shows why AI should be considered part of application infrastructure. We’ll explore how system design changes when AI handles interpretation, decision-making, and orchestration behind the scenes.
From Glue Code to Intelligent Workflows: Designing Event-Driven JavaScript Systems
Modern web apps rely on an invisible mess of cron jobs, webhooks, scripts, and manual steps until something breaks.
This talk shows how JavaScript teams can move away from fragile “glue code” and toward event-driven workflows that scale. You’ll learn how to design systems where actions trigger automatically, integrations stay predictable, and teams stop babysitting pipelines.
When Content Understands and Acts: The Rise of AI-Native JavaScript Systems
What if content wasn’t just data your app renders but something that understands meaning, reacts to change, and triggers actions on its own?
As AI and automation mature, JavaScript systems are shifting from request-response apps to intelligent, event-driven platforms. In this talk, we’ll explore how semantic data, AI models, and workflows are reshaping how modern web systems are designed and what this means for JavaScript developers building for the next decade.
The Cognitive Load Crisis: How Modern Web Systems Burn Out Teams
We talk a lot about scaling systems but rarely about the humans maintaining them.
As JavaScript ecosystems grow more complex, developers are carrying an invisible burden: fragmented tools, manual workflows, constant context switching, and alert fatigue. This talk explores how system design directly impacts cognitive load and how smarter automation and architecture can reduce burnout instead of amplifying it.
Siddharth Dayalwal
Senior Developer Community Specialist, Storyblok
Vadodara, India
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