AI-Ready Engineering Workshop
Prepare your codebase for AI-assisted development — and start implementing immediately. Most teams start using AI in coding without preparing their codebase, workflows, or standards. This workshop is designed to fix that.
Duration
1 day
Prerequisite: AI-Ready Engineer training must be completed before attending this workshop.
One full day – morning focused on analysis and planning, afternoon on hands-on implementation in your codebase
What You'll Learn
- ›Preparing your codebase for AI-assisted development
- ›Identifying technical debt and structural issues that block effective AI usage
- ›Defining patterns, conventions, and guardrails for AI-generated code
- ›Establishing a workflow where AI can be used safely and consistently
How It Works
Morning – Make your codebase AI-ready: Analyze your current codebase and development practices, identify gaps that reduce AI effectiveness, create a prioritized backlog of improvements, and define conventions and guardrails. Afternoon – Implement in your own codebase: Start implementing selected improvements, refactor and structure code, apply agreed patterns, and validate that AI can now operate more effectively in your environment.
- ›Analyze current codebase and development practices
- ›Identify gaps that reduce AI effectiveness
- ›Create a prioritized backlog of improvements
- ›Define conventions and guardrails for AI-assisted coding
- ›Implement selected improvements in your own codebase
- ›Validate AI effectiveness in your environment
Outcome
By the end of the workshop, your team will: Have a clear, prioritized backlog for making your codebase AI-ready, Have implemented concrete improvements in your own codebase, Understand how to work with AI in a controlled, production-ready way, Be able to continue the transformation independently