AI infiltrates Development Segments so quickly

A decade ago, the companies that used Agile processes along these lines built the best software using CI/CD, and Automated Testing were the big winners. 

5 Years ago, low-code and platforms provided governance and faster ways to build apps.

We are seeing AI coming into all 6 steps, and low code is optional; it still offers good governance for businesses.

Test
Was: Unit Tests, Postman, Spec Flow, Selenium 
Becoming: Postman, MCP, Unit test generation

Deploy
Was: Scripts, PowerShell, TeamCity, Ansible, ARM, Portal UIs, TFS, Git, Terraform, Pulumi
Becoming: BICEP, MCP, VS Code/IDEs, GitHub, Claude CLI, GitHub Copilot

Code
Was: Java, C#, NodeJS, SDKs, RUST, GO APIs, Low-code/No-code
Becoming: Python, TypeScript, Power Platform, Agents

Key Anthropic terminology for Ai (and Claude)

Overview: I have found that many people don't understand what Anthropic and Claude do, how they relate to each other, or how they fit into the AI industry.

The key takeaway is that Claude has two main parts: Tooling (e.g., Claude AI chat, Claude code, and Claude Cowork), and models for AI. The main product lines for these LLMs are Opus, Sonnet, and Haiku.