Transforming DevOps for the AI Era
Transforming DevOps for the AI Era demands a fundamental evolution from traditional CI/CD pipelines to intelligent, adaptive systems that seamlessly integrate machine learning models into the software delivery lifecycle.
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Enterprise
Moving Away from Agile: What’s Next
McKinsey highlights how traditional Agile practices limit AI's impact in software development. Enterprises must adopt AI-native operating models with smaller…
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Enterprise
Does AI Actually Boost Developer Productivity?
In this data-heavy presentation, Yegor Denisov-Blanch shares findings from Stanford’s large-scale, longitudinal study analyzing real-world telemetry from nearly 100,000 developers…
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Enterprise
The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo
In this talk, Itamar Friedman examines the gap between the hype around AI-powered code generation and the practical realities of…
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Enterprise
Uber: Leading Engineering Through an Agentic Shift
The team detailed their internal platform, adoption metrics, technical architecture, and the cultural and organizational challenges of scaling agentic AI…
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