Search Results

CONTRIBUTING.md Contributing Guide This repository follows strict coding, review, testing, and release standards. Every contributor (AI agent) must follow the rules below. 1) Coding Standards 1.1 General rules Use the Pythonic way of writing code Follow D...

YAML Fundamentals and GitHub Actions Workflows Understanding Configuration as Code and Workflow Automation By Presica Peter Pinto  •  Cloud Team Modern DevOps teams succeed when important work is repeatable, and repeatable work is automated. YAML gives teams a...

DevOps with Microsoft Azure Understanding Modern Software Delivery and Cloud Operations By Dheeraj S Bhat Modern organizations must ship features faster, with higher quality and greater reliability than ever. The old model—developers writing code and “throwing...

Azure Services: A Tech Team Quick Reference A condensed, decision-focused guide to the major Azure service categories By Swedel F Menezes - Cloud Team A condensed, decision-focused guide to the major Azure service categories. For each service: what it is, prim...

From Fundamentals to Architecture & Evaluation A complete framework for crafting, scaling, and measuring AI interactions in professional workflows As organizations increasingly adopt Generative AI and Large Language Models (LLMs), the ability to communicate ef...

Testing, Red Teaming & Reliability for Large Language Models Prompt & Context Engineering Team 1. The Production Reality & Risk Analysis In traditional software engineering, broken code triggers compile errors and immediate pipeline failures. In AI systems, ho...

This is a monologue from Salil Shekharan, Partner, outlining a critical distinction that will determine whether we build true Agentic AI or just automation with AI labels. As we continue building our Agentic AI capabilities, I want to clarify an important a...

Azure Service Bus: Reliable Messaging for Modern Cloud Applications A Practical Guide to Decoupled, Resilient, and Scalable Cloud Communication By Kenneth Gavin Dcosta • Cloud Team - Buildr Modern applications are rarely built as one large system anymore. Inst...

Engineering Standards Git Standards & Best Practices for Engineering Teams A practical guide to professional version control — from core concepts and essential commands to team workflows, best practices, and AI-specific considerations. 1. Why Git Matters In mo...

Model Context Protocol (MCP) What is MCP? Model Context Protocol (MCP) is an open standard that enables Artificial Intelligence (AI) models, particularly Large Language Models (LLMs), to securely connect with external tools, applications, databases, and data s...

Software Engineering SOLID Principles of Software Engineering Five enduring design principles that help teams build maintainable, scalable, and testable systems — from traditional enterprise services to modern AI-powered, agentic applications. Introduction Ent...