Beyond Code
Build Reliable AI-Assisted Software with Context Engineering, Mechanical Gates, and AI Agent Control
Created by Jeremy McEntire
Explore practical ways to guide AI-assisted software development beyond just writing code. Learn to shape inputs, enforce constraints, and coordinate multiple agents to build reliable, scalable systems. Focus on solving real problems and translating business needs into effective solutions.
Packt | Aug 2026 | 172 min
What You Will Learn
You will work through real-world scenarios that show how to define context, set up constraints, and break down work into manageable, verifiable tasks. By reviewing outputs and knowing when to rely on human judgment, you will build confidence in managing AI-driven development processes.
Key Features
- Control what AI agents see and generate using context engineering techniques
- Enforce reliability with mechanical gates and clear, testable acceptance criteria
- Coordinate multi-agent workflows for seamless build, test, and deploy cycles
Target Audience
Ideal for developers, tech leads, and engineering managers who use AI coding tools and want to improve system reliability and team alignment. If you have hands-on experience building or reviewing software projects and want to adapt to the new AI-driven workflow, this course is designed for you.
