AI Engineering Workflows: From Vibe Coding to Reliable Delivery
Take Control of Your Cloud Spend
Wednesday, Feb. 25th at 11:00 AM US ET
AI is becoming part of everyday software development, but many engineering teams still lack a reliable way to use it at scale. The real challenge for leaders isn’t access to models—it’s standardizing AI workflows so teams can work safely, maintain quality, and achieve consistent productivity gains.
In this webinar, Sascha Heyer, Senior AI/ML Engineer at DoiT, shares a practical blueprint for moving from ad-hoc “vibe coding” to reliable AI-driven engineering. You’ll learn how to standardize AI workflows, manage context at scale, and use autonomous agents to multiply developer output- so your team can start seeing real results immediately.
What you'll learn:
How to implement standardized AI engineering workflows across teams
Practical context engineering techniques for reliable AI-driven development
How to scale developer productivity using autonomous AI agents
This session is for:
Engineering Managers and technical leaders driving AI adoption
Sascha is a Senior AI/ML Engineer at DoiT, where he helps organizations design and scale production-ready machine learning systems. Based in Berlin, he has supported hundreds of companies in adopting ML and AI, working closely with teams on real-world implementation challenges.