Episode Details

Gen AI for dev teams has been a focal point of conversation for the last few years, but the technology and application are both still very nascent. How can you find the best Gen AI use case for your team, and implement it safely?

This week, our host Dan Lines sits down with Peter McKee, Vice President of Developer Relations and Community at Sonar. They explore the benefits and risks associated with Gen AI, and whether this new tooling is most impactful for junior or senior developers. Regardless of the persona, there needs to be an emphasis on quality control, static code analysis, and the new coaching strategies to help the influx of new code.

Tune in to hear Dan and Peter offer practical advice for engineering leaders on safely experimenting with and integrating Gen AI tools to enhance productivity without sacrificing quality.

Episode Highlights:

• 00:33 The ins and out of being a VP of Developer Relations and Community
• 04:48 The Importance of wisdom and experience when applying Gen AI
• 08:32 Is there more of a risk for junior developers in this age?
• 19:51 How tooling can help with the influx of Gen AI Code 
• 26:02 The safe ways to roll out Gen AI to developers
• 29:21 Where to start applying Gen AI for your team 

Show Notes:

• Peter McKee (@pmckee) / X
• Peter McKee
• Better Code & Better Software | Ultimate Security and Quality | Sonar
• Download The Engineering Leader’s Guide to Accelerating Developer Productivity

OFFERS

• Start Free Trial: Get started with LinearB's AI productivity platform for free.
• Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

LEARN ABOUT LINEARB

• AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
• AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
• AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
• MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.