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Learn to design and build multi-agent AI workflows using Command in this hands-on workshop. You’ll vibe code agents and their apps, explore prompt modes, create agent versions, and deploy to production—all powered by Langbase’s composable architecture. Basic JavaScript knowledge recommended; open to all skill levels.
Learn how to vibe code powerful AI Agents and turn them into production-ready, shareable apps using Command.new. this hands-on workshop covers building agents, customizing apps with app mode, and exploring prompt modes—open to all skill levels.
At the SF AI Show & Tell, Ahmad Awais (CEO of Langbase) shared insights into building infrastructure for AI agents, showcasing how developers can rapidly create and scale production-ready AI apps. Following his talk, he joined a panel discussion moderated by Cedric Vidal (Microsoft), recorded live at GitHub SF on June 11, 2025.
Learn how to build powerful, scalable AI agents using Chai and Langbase’s AI primitives—the building blocks for composable agent development. This hands-on workshop covers vibe coding agents and their apps, defining structured workflows, running LLM agents with tool calling, and managing dynamic, multi-context conversations. Ideal for those with basic JavaScript knowledge, and open to all experience levels.
Explore how to design and build powerful multi-agent workflows using Chai in this hands-on workshop. Learn to vibe code AI agents and UIs, integrate OCR, web search, and memory, and go from idea to deployed agent app in minutes. Built on Langbase’s composable architecture, Chai makes it easy to create scalable, autonomous AI systems—no traditional framework overhead. Basic JavaScript knowledge recommended; open to all skill levels.
Learn how to build and deploy AI agents in real time using Langbase’s powerful agent primitives. In this hands-on workshop, you’ll create agents that automate tasks, use memory and prompt chaining for context, and deploy instantly with Langbase Pipes—serverless APIs for fast, scalable agent apps. Ideal for anyone with basic JavaScript and CLI experience.
Learn to design and implement scalable AI agent architectures using Langbase’s composable tools in this hands-on workshop. You'll build agents that combine LLMs, tools, memory, and routing to handle complex tasks with minimal boilerplate. Explore prompt chaining for structured workflows and agentic routing for intelligent task delegation—all deployable without managing infrastructure. Open to all skill levels; ideal for anyone building with LLMs.
Learn to build advanced AI email agents that automate triage, sentiment analysis, and smart replies using Langbase’s composable agent architecture. In this hands-on workshop, you’ll create a Pipe—an AI agent deployed as a serverless API—that summarizes emails, analyzes sentiment, decides if a reply is needed, and generates context-aware responses. Basic JavaScript and CLI knowledge recommended; open to all skill levels.
Learn how to build a multi-agent system that can answer questions about your data using RAG Memory agents with Langbase. In this workshop, Langbase founder Ahmad Awais will walk through creating memory instances, uploading documents, retrieving relevant data, and generating context-aware responses—all powered by Langbase’s composable agent system.
What developers and founders are saying about Langbase
“The real breakthrough here is how easily we can test RAG via Langbase memory agents—actually seeing which chunks get retrieved for specific queries. That kind of visibility just isn't available with other providers. Typically, you'd need specialized vendor knowledge, framework-centric coding, or custom actions to get the same result. But with Langbase, there's next to no overhead or prior expertise needed. The straightforward setup,developer experience, collab features, and built-in version control instantly give it a huge plus for anyone building AI-driven apps. Langbase basically turned me into an Al engineer overnight. The learning curve is practically zero thanks to the clear explanations and clean Ul. And being able to talk directly with real engineers on their support team makes the entire experience even smoother.”
“Langbase is transforming the AI market. Easy to use, handy integrations, and serverless AI agents infra. What else could we ask for.”
“Langbase lets us manage all our LLM-related infrastructure in one place, quick-iteration, actionable analytics, version controlled prompts, and rapid testing of different LLM models. Read more in FQ's customer story.”
“🚀 Excited to see @Langbase launch! Langbase is transforming AI development with serverless AI agents infrastructure, making it easy for any developer to build, collaborate, and deploy AI apps. Think Docker containers, but for AI agents! Proud to have supported them from the beginning.”
“Really impressed with Langbase (we use at Ignition) - it's one of the most "need to have" tools i've seen in the past decade … AI is moving so quickly so a serverless composable infra to mix/match/test/deploy new models as they are released is the fastest way for an org to stay on the bleeding edge without without vendor lock-in … seeing how excited my team has been using Langbase. Langbase is simplifying the complexity of it all.”
“Langbase AI serverless dev experience is powerful and unique, truly designed to meet the needs of developers building and operating LLM apps.”
“Langbase is unique for its composable serverless AI cloud that just works. Makes AI dev dead simple for everyone, not just the ML experts. I believe an AI Pipe is the easiest way to build AI features you can actually use. Build, ship, and innovate with zero-config, making ship happen.”
“Excellent launch: Just added to the AI Development Tools list.”
“I had an opportunity to take an early look at ⌘ Langbase is doing is groundbreaking to help leverage AI for typical AI skeptics and newcomers like myself. I'm excited to work with this more to build AI-powered projects and scale them!”
“If you're a developer and you're working in AI, you should be using ⌘ Langbase — serverless, composable, zero-config AI dev cloud so you can focus on your product and business rather than all the plumbing. Great work Ahmad and team”
“LLM's are redefining the meaning of an application andLangbase is the Vercel of AI that supercharges every developer & company's efforts in building for this new wave.”
“Great developer tools … Langbase is shipping the LLMOps infrastructure and pipelines that developers love to use. It removes repetitive, high-friction, infra work freeing you to focus leveraging the best models to build use cases that matter. With AI pipes, developers can adopt and iterate on AI features at high velocity.”
“No one does it like Ahmad. Been playing with Langbase recently and if you want to get cooking with AI, this is it. 10/10 platform, 100/10 landing page.”
“This is going to be huge 🚀 will enable such cool features on Caley!”
“Ahmad is uniquely positioned to dramatically improve the AI developer experience. He has done exactly that with Langbase, building on his deep expertise creating products for developers”
“We rebuilt SiteGPT v2 with our own RAG pipeline using Langbase. Why? Control and accuracy. Each step from query to answer is now a Langbase pipe. This means granular testing, precise cost measurement, and easier optimization. Want to add or tweak a step? Langbase'scomposability makes it simple. It's not just about better answers—it's about building a system we can evolve.”
“Got an early look, ⌘ Langbase is shipping groundbreaking tooling to leverage AI for typical AI skeptics and newcomers like myself. I'm excited to work with this more to build AI-powered projects and scale them!”
“Composability—building complex systems from simple, interchangeable parts—can transform development processes. At npm, we made package management composable. Langbase brings this same spirit of modularity and flexibility into the AI domain.”
“Really impressive launch of serverless AI cloud by Langbase!Made it easy for developers to build complex AI agents in a more modular and scalablemanner leveraging. Proud to be an early supporter of Ahmad on his founder journey.”
