Apr 30
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AI S/PDLC: https://evergreen.team/software-product-engineering In this session, the team at EverGreen demonstrates how to leverage AI Agents to generate high-quality technical documentation for a TypeScript MCP (Model Context Protocol) server. We dive deep into the repository structure, analyze the code using Cursor AI, and use AI to create essential artifacts including architecture diagrams, integration guides, and risk assessments. This is a practical look at how AI is transforming the Software Development Life Cycle (SDLC) in 2026. Key Highlights: - Analyzing the weather-server-typescript codebase. - Mapping architecture flows using Excalidraw. - Prompting AI Agents to generate .md documentation files. - Identifying code improvements and security risks automatically. Timestamp Breakdown: 00:00 – Project Introduction & Objectives 01:15 – Repository Walkthrough in Cursor 02:30 – Visualizing System Architecture (Excalidraw) 03:45 – Generating Documentation Artifacts 04:50 – Final Review of AI-Generated Content