Amir Friedman, Martin Reynolds & Yair Etziony
Empowering Developer Innovation - Balancing Speed, Security, and Scale
#1about 2 minutes
Balancing developer self-service with security and compliance
Use guardrails and golden paths to empower developers in regulated environments while maintaining necessary controls.
#2about 4 minutes
Measuring the impact of self-service initiatives
Track DORA metrics and vulnerability scan results to quantitatively measure improvements, supplemented by qualitative feedback loops.
#3about 4 minutes
Streamlining toolchains to improve developer efficiency
Move from ticket-based systems to self-serve infrastructure with reusable modules to reduce toil and create a safe space for experimentation.
#4about 5 minutes
Setting meaningful metrics without encouraging gaming
Use metrics with context to facilitate intelligent discussions about performance rather than enforcing universal, gameable targets.
#5about 6 minutes
Aligning engineering culture with strategic business goals
Secure executive buy-in and create innovation sandboxes to align the engineering culture with broader business objectives like speed and reliability.
#6about 6 minutes
Assessing the impact of AI on developer productivity
While AI can increase code output, its true impact on productivity must be measured carefully, considering adoption challenges and the continued need for human review.
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29:56 MIN
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10:47 MIN
Reclaiming developer time with AI-powered tooling
How GitHub secures open source
04:13 MIN
The impact of GenAI on team collaboration and culture
The Future of Developer Experience with GenAI: Driving Engineering Excellence
15:24 MIN
Defining the future of the modern developer role
The Evolving Landscape of Application Development: Insights from Three Years of Research
08:31 MIN
Using frameworks to measure developer productivity
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26:10 MIN
Actionable advice for contributing to the developer community
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00:46 MIN
The expanding security responsibilities of developers
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