Microsoft Build 2026 is just around the corner, and the Microsoft for Startups team has been looking closely at what founders should not miss. This year’s event is packed with content for every role on a startup team, from AI-focused hands-on labs to lightning talks and deep-dive breakout sessions on agentic AI, custom model deployment, and multi-agent frameworks.
Whether you’re a solo technical founder or leading engineering at a fast-growing Series A, there’s something here designed to move your roadmap forward. We’ve grouped the must-attend sessions into four themes that map to the realities of building a startup today: moving fast, multiplying your team’s output, keeping your cost in check, and scaling smart when it’s time to onboard customers.
From early traction to fast execution
In the earliest stages, speed isn’t a nice-to-have, it’s how you out-execute companies with ten times your headcount. Microsoft Build 2026 has a strong lineup for founders and engineers who need to move from idea to working prototype to production-ready service in weeks, not quarters.
These sessions cover the full early-stage arc from picking the right architectural foundation to combining tools your team already knows, to getting a frank reality check on the patterns actually working in production today:
- LAB510: Take LLMs from prototype to production on AKS. Hands-on architectural choices that save you from painful re-platforming later. (On-site only in San Francisco)
- DEM364: Postgres and OpenAI – a match made in Azure. Ship intelligent features fast by combining two technologies your team likely already uses. (On-site and online, will be recorded)
- LTG408: The developer experience with AKS Desktop and VS Code. Sharpen your inner-loop dev experience for cloud-native AI apps. (On-site and online, will be recorded)
- BRK222: The honest practitioner’s take on agentic AI on Kubernetes. A no-hype reality check from people who’ve shipped this in production. (On-site and Online, will be recorded)
Supercharged AI workflows
Every founder we talk to wants the same thing: leverage. The sessions in this track are about turning a small team into a force multiplier by putting AI inside the workstreams that already exist: coding, debugging, knowledge retrieval, and the full software development lifecycle.
If you’re trying to figure out where AI agents actually earn their keep on your team, these are the talks to study closely. Expect concrete patterns for grounding agents in your data, embedding GitHub Copilot deeper into the dev loop, and unifying your DevOps and GitHub workflows around an AI-powered Software Development Lifecycle (SDLC).
- Lab532: From data to context: Agent‑ready knowledge with Foundry IQ. Hands-on lab great for startups that need agents to be useful on day one: connect common knowledge sources and shape them into high signal context. (On-site only in San Francisco)
- BRK207: GitHub Copilot in Visual Studio: Agents That Debug, Profile, and Test. Go deep into both /fleet and autopilot mode, which allows GitHub Copilot CLI to work autonomously. (On-site and online, will be recorded)
- BRK202: Azure DevOps meets GitHub, the path to AI powered SDLC. A clear migration and integration story for teams split across both platforms. (On-site and online, will be recorded)

Reducing startup costs while scaling
Every dollar of runway counts, and inference costs can quietly become your single largest line item. These sessions are for technical leaders who want the same model quality at a fraction of the spend and the architectural patterns to back it up.
The throughline here is keeping costs from ballooning: smaller models that punch above their weight, retrieval architectures that keep storage and latency in check, and an end-to-end view of running your own custom models without blowing up your ops budget.
- DEM322: Smaller, faster, smarter: Distilling agents with fine‑tuning. Distill frontier models into purpose-built smaller ones that hit your latency and cost targets. (On-site and online, will be recorded)
- LTG411: Agentic RAG for fast, low-cost knowledge retrieval on Azure Cosmos DB. A retrieval architecture that stays snappy and predictable as your knowledge base grows. (On-site only in San Francisco)
- BRK234: Shipping custom models at scale from fine-tuning to inference. The end-to-end view, including the often-overlooked operational realities of running your own models. (On-site and online, will be recorded)
Engineering for startup growth and go-to-market success
Once your product is working and your unit economics are healthy, the next mountain is distribution. Microsoft Build 2026 has sessions specifically aimed at startups thinking about how to scale their engineering practice and reach enterprise customers through Microsoft Marketplace.
Whether you’re hardening your AI stack for enterprise-grade deployment or getting ready to put your product in front of millions of enterprise buyers, these sessions cover the operational discipline and go-to-market motion that separate demos from durable businesses.
- LTG419: Turn ideas into AI applications with Microsoft Foundry Labs. Observability, evaluation, safety, and the boring-but-critical infrastructure that lets you sleep at night. (On-site only in San Francisco)
- DEM363: From the Field: Accelerate Your Development for Microsoft Marketplace. A tactical session from the team that helps startups list, transact, and grow on the Marketplace. (On-site and online, will be recorded)
See you at Microsoft Build 2026
Microsoft Build has always been a developer’s event, but this year it’s unmistakably a startup builder’s event. Whether you’re flying into San Francisco for the in-person experience, the hallway conversations, and the labs or joining virtually to catch the recorded breakouts on your own schedule, there’s a clear path through the agenda for you and your team.
Register for Microsoft Build 2026 now, build out your session plan, and come ready to ship faster, spend smarter, and scale further. We can’t wait to see what you build next.
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