Webinars

Upcoming

AI-generated capacity: Where does the time go?

US / EMEA: Nov 12, 9:30 AM PT

APAC: Nov 13, 12:00 PM AEDT

Register

On demand

The CAFE(S) framework: Improving AI agent effectiveness through better context (APAC)

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The CAFE(S) framework: Improving AI agent effectiveness through better context (EMEA/US)

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New in DX: Product updates for July 2026

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AI in engineering: Q2 2026 benchmarks & research readout

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Research briefing with Brian Houck: Measuring AI agents, revisiting the Core 4, and more

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New in DX: Fabric, the context layer between your AI agents and your systems

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AMA with Abi Noda: Measuring AI impact, assessing readiness, and new data trends

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AI and productivity: A year-in-review with Microsoft, Google, and GitHub researchers

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Running data-driven evaluations of AI engineering tools

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Planning your 2026 AI tooling budget: guidance for engineering leaders

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The evolving role of Platform teams in the AI era

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Measuring AI code assistants and agents with the AI Measurement Framework

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How Uber uses AI to analyze developer feedback and uncover hotspots

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The biggest obstacles preventing GenAI adoption — and how to overcome them

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Setting targets for developer productivity metrics

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You have developer productivity metrics. Now what?

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2024 Industry Benchmarks: DX Core 4

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2024 Industry Benchmarks: DX Core 4

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Measuring developer productivity with the DX Core 4

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Measuring developer productivity at Twilio, TrueLayer, and DoorDash

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Mistakes We See Platform Teams Make

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When Does GenAI Hurt Developer Productivity?

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GenAI in Practice: Insights from AirBnB, GitHub and Jumio

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How to Structure Your Platform Team

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When Not To Use DORA Metrics

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Applying LinkedIn’s Developer Productivity Happiness (DPH) Framework

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The Impact of AI on Developer Productivity

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DORA, SPACE, and DevEx: Choosing the Right Framework

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