Sessions covering Azure-based application development, Microsoft 365, Power Platform, Teams, and developer tooling across the Microsoft ecosystem.
Explore how to build evaluation gates into your CI/CD pipelines so you can catch quality, safety, and groundedness regressions before they reach production
Koustubh Bhaskar Gaikwad
Sr. Manager PwC Engineering ·
When managing web apps these days, it often feels like one of the biggest parts of our job is just pew-pewing bots - and just when human-scripted bots weren't enough fun, AI scraping came along, LLM training ramped up and the Noise. Just. Kept. Growing! So we need to look at solutions like firewalls and rate limiting, which means more costly infrastructure and adding layer after layer of protection. Since .NET 7, we've actually had a built-in middleware at our disposal, which can be configured purely in code, within less time than it's taken me to write this abstract. In this session I'll cover what the .NET rate limiting middleware has to offer, how to configure it and scale it for real world applications, and dig into some of the limitations and gotchas for integration with existing infrastructure. Let's "slow things down" (!) and push back against the army of bots.
Bron Thulke
Software Engineer, CTO and Cofounder · YouLi Travel, Microsoft MVP (.NET)
Sensors lie. They drift, jitter, warm up slowly, and sometimes stop talking altogether. ML.NET can catch these issues on the edge without training data, GPUs, or cloud connectivity. ML.NET can detect spikes, drift, timing anomalies, and sensor failures using lightweight SSA models running on industrial controllers saving uplink bandwidth and enabling close to real-time local control. Had a selection of sensors and industrial controller worked through how to build applications which look for anomalies and change point detection. Azure backend with Azure EventGrid MQTT broker
Bryn Lewis
Microsoft MVP, maker, husband & father of two. I build stuff, break stuff & make up for a lack of talent with persistence ·
This talk focuses the product foundry local with a demo on how this can be used to solve a fun real world problem, which we're then going to relate to how it cane be extended to enterprise scenarios.
Venura
Director, Engineering · PwC Australia
AI-powered development is accelerating rapidly, but many teams are unknowingly burning through tokens due to how context is constructed and used. As organisations adopt AI tooling and agentic workflows, inefficient context usage can quietly increase cost, reduce performance, and degrade output quality. In this session, we will break down how modern AI systems use context, including how prompts are expanded with additional data, how tokens are consumed across interactions, and why context windows should be treated as a designed resource rather than an infinite scratchpad. We will explore common patterns that lead to excessive token usage, such as large working sets, long-running interactions, and uncontrolled agent loops. From there, we will look at practical approaches to regaining control, including focused work loops, context management strategies, and using the right model for the right task. Finally, we will explore how to introduce observability and control into AI workloads through platform-level patterns, including AI gateways, usage attribution, and policy-driven design. Attendees will leave with a clearer understanding of how tokens are used across AI systems and how to design more efficient, observable, and cost-aware AI-powered development workflows.
Dylan McCarthy
Principal Solution Consultant · Versent, Microsoft MVP
Context is the new king in Agentic AI world. In this session we will understand how context plays a very important role in Agentic AI. We will understand how to improve and manage the context so that we get better results from Agentic AI.
Nilesh Gule
Passionate about software with a motto "Code with Passion and strive for Excellence" · Avanade
Is .NET the most versatile platform in the game - or has it quietly turned developers into specialists who can't see past the Microsoft ecosystem? Is low-code the democratisation of software development - or just a fast lane to unmaintainable enterprise spaghetti? And are AI copilots making us sharper, more productive developers - or quietly eroding the deep skills that made us good in the first place? In this session, Lars and Bron go head-to-head across three of the most divisive questions facing Microsoft developers right now. No panels, no wishy-washy "it depends" - just two opinionated developers arguing both sides of debates the community is already having in Slack threads and conference hallways. Come ready to pick a side. Audience participation is not optional.
Lars Klint
DevRel · Atlassian - Microsoft MVP - Llama Farmer
