Dev Interrupted
Automated ≠ Autonomous: Developer Productivity and AI | MongoDB’s Tara Hernandez
Apr 16, 2024
Tara Hernandez, VP of Developer Productivity at MongoDB, delves into achieving developer productivity through outcomes, minimizing noise, and balancing tech, processes, and communication. She discusses three horizons for investment breakdown, the importance of goal setting for noise reduction, and the role of AI in developer productivity.
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Quick takeaways
- Setting clear outcomes and success criteria is crucial for improving developer productivity by defining high-level goals.
- Promoting autonomy and self-reliance within development teams through the ability to independently set up repositories and perform necessary tasks.
Deep dives
Focus on Outcomes for Success
Setting clear outcomes and success criteria is crucial for improving developer productivity. By defining high-level goals such as feature delivery or revenue targets, leadership can empower teams to determine their contribution and measure success. Concrete outcomes like reducing meeting time to increase developer focus time by 20% can be effective benchmarks.
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