Software Architecture Conference 2026
2026-08-20..2026-08-21
-- online --
| title | author | length |
|---|---|---|
| Understanding the Architecture of MCP (Model Context Protocol) | Rodrigo Díaz Concha | 24m |
MCP standardizes exposing functions, files and prompt templates to LLM-based agents using JSON-RPC 2.0 and a discovery method; every request carries a… | ||
| Building Healthcare AI Applications with .NET: Secure APIs, RAG & Human-in-the-Loop | Indirakumar Rajendiran | 25m |
Architecture uses an ASP.NET Core API as a secure orchestration layer that mediates model calls, enforces auth, input validation, logging and deterministic C#… | ||
| The Compounding Agentic GTM System | AI-Powered Go-to-Market | Akhil Agrawal | 20m |
A compounding GTM system connects six agents—six agents—(prospector, voice, typewriter, Sherlock, persona, director) that share a context layer of ICP… | ||
| Microservices Architecture: Design Principles & Best Practices | Joever Monceda | 18m |
A concrete order/payment system is built and demonstrated: three microservices (order, payment, notification) communicate via events, a background job consumes… | ||
| Engineering in the Age of AI: Making AI Work for Us, Not Replace Us | Kateryna Tertienko | 27m |
Claims concrete: an AI pair-programmer (Claude, paid AI Max) cuts coding time by about 50% faster development, but output multiplies pull requests and bugs… | ||
| Demystifying Event Sourcing: A Practical Approach to Modern Software Architecture | Shahab Ganji | 30m |
Shows a working tic-tac-toe XO demo implemented in C# that stores every move as an append-only event, reconstructs game state by replaying events, and runs… | ||
| Building SwasthaX: Engineering a Production-Scale AI Platform for Healthcare | Bharat Dixit | 31m |
Production AI platform that builds a behavioral digital twin from wearables, medical records and daily habits, calculates a prevention score and issues live… | ||
| Agentic Development at Enterprise Scale: RAG, MCP & Guardrails | Santu Chakraborty | 28m |
Enterprise solution shows a concrete architecture that uses RAG to ground LLMs on approved enterprise docs (10M+ chunks, top‑K=15) combined with MCP (Model… | ||
| From Demos to Production: Why Agentic AI Breaks at Enterprise Scale | Devdas Gupta | 20m |
Why does an AI agent that works perfectly in a demo often struggle in production?
Taking Agentic AI from a proof of concept to enterprise production… | ||
| Modern Architecture for AI-Augmented Development Teams | Joseph by Guadagno | 31m |
Companies report rolling out GitHub Copilot and similar tools across engineering, with McKinsey-style adoption claims (about 88% of enterprises) and studies… | ||
| Enterprise Architecture Governance in the AI Era | Rijwan Ansari | 33m |
Shows a working prototype that converts 50+ enterprise policies into a machine-readable engine, calls GPT‑4.5‑mini for reasoning, and evaluates JSON… | ||
| Architecting AI Agents with Microsoft Agent Framework | Satya Karki | 34m |
Shows a proof-of-concept refund agent built with Microsoft Agent Framework and C# that uses Azure AI Foundry (GPT 5.4 mini) plus MCP/function tools, memory and… | ||
| Shipping Production AI Agents on Azure | Divyesh Govaerdhanan | 20m |
Velo is an AI-powered DORA metrics platform running ASP.NET Core 9, Angular 19, Azure Container Apps and Azure SQL Serverless with Microsoft Foundry models… | ||
| Architecting Business-Driven .NET Microservices in the Cloud | Tural Suleymani | 41m |
Practical .NET microservice blueprint with code at github.com/trolsmoniio/roio-matchmaking-microservice, claiming scale to 10 million concurrent players using… | ||
| The Architecture of Power: Leadership, Systems, and Software Architecture | Yevgen Nebesov | 01h 38m |
Friday’s release sits blocked until the absent lead architect returns, decides in ten minutes, and the team learns that the architect is indispensable — a… | ||
| From Edge to Enterprise: Intelligent IoT Architectures | Saravanan Ganesan | 27m |
Argues that intelligence belongs “as close as necessary, as far upstream as useful,” with ML inference running on edge containers for latency-sensitive actions… | ||
| Twenty-Seven Years of Being Early | Magnus Mårtensson | 42m |
Argues that the real lie is timing: claims about AI are likely true but the timeline is the lie; recounts manually cataloging the web, Azure announced 2008 and… | ||
| Beyond AI Hype: Architecting Software Systems That Scale in the Agentic Era | Timothy Ogunwade | 12m |
Argues that architects must design boundaries, wireframes and a solid foundation before applying agents, not vice versa; recommends a wireframe-first… | ||
| nothing matches | ||