Automated ≠ Autonomous: Developer Productivity and AI | MongoDB’s Tara Hernandez

This week, our host Dan Lines sits down with Tara Hernandez, VP of Developer Productivity at MongoDB. Together, they explore the nuances of developer productivity and the impact of AI in engineering environments.Tara emphasizes that achieving developer productivity requires a focus on outcomes, reduced noise for developers, and a healthy balance between technology, processes, and communication. She also touches on the strategic framework of the 'three horizons' for conceptualizing your investment breakdown across different projects and how to maintain focused on meaningful development work.Episode Highlights:01:43 How should you think about developer productivity?09:09 Three pillars to improve developer productivity16:07 Automated does not equal autonomous24:46 Making the golden path the easy path for developers27:51 What’s exciting in developer productivity and AI?29:57 The three horizons38:34 Developer performance vs productivity data40:23 What is the right way to think about goal setting for noise reduction?Show Notes:Starting Your Engineering Metrics Program Workshop Tara HernandezMongoDBGitHubCloudBeesCircleCIAtlassianEvergreen CI in GitHubOFFERS 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.

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