Code Revealed
A practical guide to AI agents, workflows, and modern application practices
Created by Alexio Cassani
Explore how to move from experimenting with AI to delivering real value in software projects. Learn to evaluate AI tools, set clear boundaries, and create workflows that help teams work effectively with both human and AI contributors.
Packt | Aug 2026 | 334 min
What You Will Learn
You will work through practical frameworks and real-world scenarios to understand how AI agents fit into modern development. Each section introduces actionable strategies for evaluating tools, designing workflows, and managing team changes. By applying these methods, you will gain hands-on experience in building reliable, transparent AI-driven processes.
Key Features
- Match AI capabilities to software tasks using practical frameworks
- Make agent-driven work visible and auditable with structured workflows
- Establish safe adoption practices with autonomy limits and review steps
Target Audience
Ideal for developers, tech leads, architects, and engineering managers who are adapting to AI-driven changes in software delivery. If you have experience in web, backend, or platform development and want to shift from just coding to guiding and validating AI-generated work, this course will help you build the skills needed to stay effective and relevant.
