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November 4 & 5, 2024

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September 4 & 5, 2024

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June 16 & 17, 2025

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How can AI actually help your teams?

In this webinar, our panelists dig into the cultural and technical issues that arise around the topic of AI, and uncover its most useful applications across the SDLC.

Moderated by Arylee McSweaney

Presented by Martin Reynolds ,  Wenjie Zi ,  Fagani Hajizada

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October 15, 2024

AI is a pretty divisive topic amongst developer teams. While a large percentage of engineering teams already use and benefit from AI, a significant percentage of developers still aren’t sure of the efficacy of AI tools.

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How to implement platform engineering at scale

In this webinar, our panelists dig into the cultural and technical issues that arise around the topic of AI, and uncover its most useful applications across the SDLC.

Register now to learn:

  • Practical application of AI tools
  • How to identify which tools are worth investing in
  • How to have meaningful conversations about AI with non-technical stakeholders
  • Using AI tools at scale 
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How does context switching impact team productivity
Content sponsored by incident.io

How does context switching impact team productivity?

In this panel, we’ll dig into why unmanaged context switching is detrimental, and ways you can help developers handle interruptions, and reach (and maintain) a state of focus and flow.

What is developer self-service, and does your org need it (6)
Content sponsored by Spacelift

What is developer self-service, and does your org need it?

In this webinar, we hear from engineering leaders who have built developer self service ecosystems, and lessons they learned along the way.

Does ‘shifting security left’ really work (1)
Content sponsored by Chainguard

Does ‘shifting security left’ really work?

"Shifting security left" is a term in modern DevOps that refers to the practice of integrating security measures earlier in the software development lifecycle (SDLC).

Oussama Hafferssas

Uncover the invisible ceiling

This talk will put the spotlight on one of those biases which is the assumption that software engineering around making mobile apps is less complicated or has a smaller scale in comparison to backend or infra engineering.