Practical guide: Adopting AI agents in engineering, beyond code generation
Practical guide: Adopting AI agents in engineering, beyond code generation
AI has changed how engineers write code. But this shift is also creating bottlenecks in how engineering teams operate and run this software in production. In this practical guide, we outlined four workflows where leading engineering organizations are deploying AI agents beyond code generation. It shows exactly how the handoff between human and machine is working in each one.
What you’ll learn:
Why 70% of engineering time is spent running production, and why current AI tools don't address it
4 practical workflows where your engineering teams can adopt AI agents
What the human-agent handoff looks like when you adopt AI agents to operate production
How world-class engineering teams like Coinbase, Zscaler, Doordash, and more are seeing success


