Ep. #87, Augmented Coding Patterns with Lada Kesseler

About this episode

The episode explores how experienced engineers can effectively work with AI coding assistants while maintaining clarity and quality.

On episode 87 of o11ycast, Ken Rimple and Jessica Kerr sit down with Lada Kesseler to explore how experienced engineers can work effectively with AI coding assistants. They discuss why AI feels like a fast, noisy black box, and how patterns like semantic zooming, feedback loops, testing, and observability can help developers stay in control. This episode is a deep dive into using AI without sacrificing clarity, quality, or trust.

People in this episode

Hosts: Ken Rimple, Jessica Kerr

Guest: Lada Kesseler

Topics covered

• AI coding assistants
• semantic zooming
• feedback loops
• testing
• observability

Keywords

• augmented coding
• developer tools
• AI in software development

Mentioned in this episode

Products: AI coding assistants

Books & works: Augmented Coding Patterns with Lada Kesseler

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