Name: Supercharge Your Coding with GitHub Copilot: Setup, Tips & Live Demo
Start: 2026-05-13T18:00:00-04:00
End: 2026-05-13T20:00:00-04:00

Curious how developers are coding faster with AI? In this session, we’ll walk through how to set up and start using GitHub Copilot to boost your productivity immediately.
Whether you're a beginner or an experienced developer, you'll learn how to integrate Copilot into your workflow and get real value from day one.
**What we’ll cover:**

* Installing and configuring Copilot in Visual Studio Code and Visual Studio
* How Copilot actually works (and where it shines)
* Writing better prompts for better code suggestions
* Real-world coding examples and live demos
* Tips, tricks, and common pitfalls to avoid

**Who should attend:**

* Developers of all levels
* Anyone curious about AI-assisted coding
* Engineers looking to improve speed and efficiency

By the end of this session, you’ll have Copilot fully set up and know how to use it to write, refactor, and explore code faster than ever.
Bring your laptop if you want to follow along!

Edward Moemeka

technology.ai

Azure Tech Groups

Technology

Microsoft Azure

Artificial Intelligence

Artificial Intelligence Programming

Jamieson Gill
Founder & CTO — Acidni LLC
*AI\-Powered Software Development Organization \| \[dates\]*
Architected and built an AI Software Development Organization (AI-SDO) — a fully autonomous, multi-agent platform delivering enterprise software across cannabis analytics, IoT/energy, construction, and developer tools verticals. Led development of 47+ products spanning 9 industry verticals, with a strong focus on applied AI, intelligent automation, and edge computing.
AI & Machine Learning Leadership

* Designed and deployed RAG-based conversational AI (Azure OpenAI GPT-4o, Semantic Kernel) powering cannabis strain recommendations from terpene profile data across 50K+ product batches
* Built a 3-phase predictive maintenance pipeline (rules → scikit-learn ML → GPT-4o GenAI with RAG) for IoT generator controllers, progressing from heuristics to natural-language diagnostics
* Developed computer vision systems using YOLOv8n with INT8 quantization for AMD NPU edge inference (ONNX Runtime), achieving real-time object detection on consumer hardware
* Created an AI-powered document intelligence pipeline (Azure Document Intelligence + GPT-4o-mini) for automated lab data extraction from COA PDFs — A/B tested GPT-4o vs GPT-4o-mini, achieving 100% extraction success rate with 15% cost reduction
* Engineered 5 MCP (Model Context Protocol) servers enabling natural-language tool calling across enterprise data (CMDB, cannabis analytics, solar telemetry), exposing REST APIs as AI-consumable interfaces
* Built a multi-agent AI orchestration platform with autonomous governance — agents handle requirements intake (Claude Sonnet 4 + GPT-4o NLP), sales intelligence (transcript → CRM automation), compliance auditing, and strategic concept mining
* Implemented an autonomous improvement engine based on Karpathy's autoresearch pattern — AI agents iteratively improve products against human-defined rubrics with CMMI-aligned fitness functions

Platform Architecture & Engineering

* Architected a 47-product portfolio on Azure (Container Apps, Functions, Cosmos DB serverless, APIM, Entra ID) under extreme cost controls ($5/resource/month ceiling) after recovering from a subscription-killing cost incident
* Built a CMDB-as-Code governance system — YAML-defined product metadata synced bidirectionally to Cosmos DB, with protected code zones (Gold/Silver/Bronze), RACI-based routing, and automated compliance auditing
* Designed Azure Marketplace SaaS integration — publisher toolkit, landing pages, webhook handlers, metered billing, and JWT-validated subscription lifecycle management (.NET 8)
* Created 5 VS Code extensions for developer productivity — CMDB sync, API catalog, chat management, and AI-assisted tooling
* Developed ESP32-S3 IoT firmware (C++) with OTA A/B updates, ESP-NOW mesh networking, BLE pairing, and cloud telemetry via Event Hub — complete with signed firmware distribution and staged rollouts

Technology Stack

* AI/ML: Azure OpenAI (GPT-4o, GPT-4o-mini), Anthropic Claude Sonnet 4, Semantic Kernel, YOLOv8n, ONNX Runtime, Azure Document Intelligence, scikit-learn, RAG, MCP (Model Context Protocol)
* Languages: Python 3.12, TypeScript 5.3+, C# 12 (.NET 8), C++ (Arduino/ESP-IDF)
* Frameworks: FastAPI, Blazor Server, React, Next.js, .NET MAUI, Bot Framework SDK
* Cloud: Azure Container Apps, Functions, Cosmos DB, APIM, Entra ID, Key Vault, Service Bus, Event Hub, Static Web Apps, ACR
* DevOps: GitHub Actions CI/CD, Docker multi-stage builds, conventional commits, CMMI-aligned maturity scoring
* Edge/IoT: ESP32-S3, OTA firmware distribution, AMD Ryzen AI NPU, BLE, ESP-NOW

Key Metrics

* 47 products across 9 verticals (cannabis, solar/energy, construction, developer tools, restaurant, digital signage, automotive, real estate, gaming)
* 5 MCP servers in production/development for AI agent tool access
* 6 products published on Azure Marketplace
* 110+ GitHub repositories cataloged with AST-based API discovery
* Multi-agent AI governance with RACI routing, protected code zones, and automated compliance audits
* Full SDLC automation — from Fireflies meeting transcripts to deployed Container Apps via AI agents







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Supercharge Your Coding with GitHub Copilot: Setup, Tips & Live Demo

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