AI coding tools are not a strategy: Integrating AI into your dev process
Details
Integrating AI into the dev process without the hype: how to set ground rules and stay in control of quality, security, and maintainability.
### Your developers are probably already using AI. The question is whether it’s still under control.
### This webinar is for tech leads, PMs, product owners, founders, CTOs, and everyone responsible for how software gets built.
We’ll talk about how to use AI in development without turning delivery into a mess: what can go into AI tools, what should never go there, who should get access, and how AI-generated code should be reviewed.
No magic-pill talk – just practical rules for using AI in dev teams without losing quality, security, or control.
#### 💡What you will learn:
- Where AI can speed up development — and where it creates real product, security, or team risks
- How to test AI adoption before scaling it across your engineering workflow
- How to set clear AI usage rules that protect quality, security, and control
- How to manage access and adoption across teams with different levels of AI readiness
- How to review AI-generated code without dramatically increasing development costs
#### 🎤 About the speaker
Lyubomyr Dutko - CTO at Lemberg Solutions
- 20+ years leading engineering teams and building development processes
- Specializes in practical AI integration for engineering workflows
- Focuses on balancing AI utility with product quality, security, and code maintainability
- Implements guardrails, review processes, and control mechanisms to reduce risk
- Helps teams adopt AI in controlled, measurable ways without compromising standards
#### 🎯Who should attend
- Tech leads & PMs
- product owners, founders & CTOs
- and everyone responsible for how software gets built.