Build //localhost:Mangaluru

## ⚠️ CRITICAL: RSVP ON MEETUP DOES NOT COUNT!

To manage venue capacity and security, an RSVP on this Meetup page will NOT grant you entry to the event.

👉 You MUST register exclusively on Luma to claim your ticket: https://luma.com/localhostmang
No walk-ins or spot registrations will be permitted at the venue. If you do not have a confirmed ticket via Luma, security will not be able to let you in.

## 🎁 Exclusive Swag Alert & Policy

We've got some incredible community gear lined up for this event, including premium Valkey merchandise, and official executive Microsoft thermal tumblers!
To keep the competition sharp and reward serious builders, we are instating a specific qualification rule for the top-tier gear:

• The Microsoft Tumbler Challenge: The premium Microsoft thermal tumblers are reserved exclusively for deserving working professionals who complete both Track 2 workshops and absolutely wow our instructors with their implementations.
• Workshop Logistics: If you are planning to take on the challenge and build, remember to bring your laptop fully charged!

## 🚀 Welcome to #localhostmang

Get ready for the ultimate builder-first developer gathering! Following the exact same high-engagement engineering standard we set with `#localhostmum`, #localhostmang brings together developers, architects, and engineering leaders for an intense day of deep dives, hands-on hacking, and tactical engineering.
We are moving past high-level slides and marketing hype. This is a pure, code-first look at the Agentic Software Development Life Cycle (SDLC), robust local dev environments, scalable cloud architectures, and the structural guardrails needed to run autonomous agent systems securely in production.

## 📅 The Agenda & Parallel Tracks

We have two concurrent tracks running throughout the day. Catch deep architecture sessions in Track 1, or roll up your sleeves for hands-on labs and rapid-fire lightning sessions in Track 2.

### 🎙️ Track 1: Deep-Dive Talks

#### [ 09:15 AM – 09:45 AM ]

• Idea to Production-Ready Agent in Seconds on AI-Native Runtime
• The Lowdown: Agentic apps behave differently from traditional services—they make decisions, coordinate steps, and react to changing inputs. Learn how to run agentic workloads on a fast, AI-native runtime using Azure Container Apps. We'll break down patterns for deployment, configuration, safe scaling for bursty traffic, and production observability.
• Cursor: Standardizing Codebases with Rules & Skills
• The Lowdown: Discover how Cursor Rules and Skills allow teams to embed coding standards, architectural patterns, and workflows directly into the AI assistant's context. See how these structural guardrails seamlessly fit into your development lifecycle to maintain repository consistency.

#### [ 10:00 AM – 10:30 AM]

• Agent Mesh as the Next IDP Layer
• The Lowdown: A growing percentage of code generation, infrastructure interaction, and operational workflows are being driven by AI agents rather than humans—but traditional Internal Developer Platforms (IDPs) weren't built for autonomous systems. This session explores building an Agent-Ready Platform using an Agent Mesh and an MCP (Model Context Protocol) Gateway.
• Key Takeaways: Designing an Agent-as-a-Service model using Kubernetes architectures; standardizing agent-to-tool communication with MCP Gateway patterns; and applying governance, RBAC, OPA (Open Policy Agent), and centralized auditing to autonomous actions.

#### [ 10:30 AM – 10:45 AM] — Lightning Interlude

• Beyond Linear AI: Dynamic Parallel Workflows with LangGraph
• Mastering essential LangGraph primitives, specifically `Send` and `Command`, to unlock the potential of AI agents beyond static, linear pipelines.
• Automated Test Case Generation Using Generative AI
• A deep look into a test case generation framework designed for QAs and Devs to generate test cases based on Engineer and End-User Modes using Ticket and Documentation links as input.

#### Additional Track 1 Feature Sessions

• From CLI to PR: Automating the Path to Merged Code
• Moving beyond conversational chat, this session breaks down the strict technical mechanics of how GitHub Copilot functions as a true agentic partner in your daily sprints—live-coding a full cycle from terminal planning to cloud delegation and automated PR reviews.​
• From Commit to Production: Building an AI-Augmented CI/CD Pipeline
• A demo-driven session showcasing how to build an AI-augmented CI/CD pipeline using GitHub Actions and modern tooling to automate PR reviews, test generation, deployment validation, and log analysis.
• API Sentinel: Building the Future of API Monitoring with AI
• An introduction to API monitoring in simple, practical terms. Learn how teams use it to quickly detect failures, performance issues, and unexpected behavior in production systems before they hit your users.
• I Am a Frontend Developer, I Don’t Need DSA
• Debunking the misconception that frontend engineers don't need data structures. This talk unpacks the internals of React at a high level—how it renders content, tracks state, and prioritizes updates—to show how foundational data structures power tools used by millions daily.

### 🛠️ Track 2: Workshops & Lightning Talks

#### [ 09:30 AM – 10:00 AM]

• Any Cloud, Locally: Hands-on with Floci Cloud Emulators
• Floci lets developers run cloud services locally without cloud accounts, auth tokens, or feature gates. We’ll explore how Floci replaces remote cloud dependencies with fast local emulators, demo creating resources from the CLI, and compare it directly to mocks and tools like LocalStack.
• Get Started with Models in Microsoft Foundry to Build AI Apps
• A hands-on lab to build a production-ready AI application using Microsoft Foundry with zero fine-tuning. Discover models, provision a Foundry project, connect via the OpenAI SDK, implement a comment moderation workflow, and package it as a hosted Python agent.

#### [ 11:00 AM – 11:30 AM]

• Crafting Reliable Software in the Era of Coding Agents
• LLMs are stochastic and require strong feedback loops to verify their output. Because coding agents rely heavily on these models, classical engineering practices like Domain-Driven Design, strong type systems, and strict testing (Unit, Integration, E2E) are no longer optional. Learn how to maintain robust codebases when partnering with AI.
• From Zero to Deployed on Azure with AI Agents
• Laptop mandatory! Go from an empty terminal to a fully deployed app on Azure. You'll use GitHub Copilot CLI and coding agents to handle scaffolding, coding, debugging, and deployment via natural language—no portal clicking required. Walk out with a working, real-world development workflow.

## 🤝 Community & Networking

Brought to you by the Mumbai Technology Meetup community. Connect with peer developers, share deployment horror stories, and talk shop over great coffee.
Lock in your spot right now over at Luma—remember, an RSVP here on Meetup does not count!

👉 Get Your Official Ticket Here: https://luma.com/localhostmang