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DevSat survey: Measuring developer experience beyond system metrics

System metrics show what is slow, but a deep-dive developer survey reveals why, turning hidden friction into actionable engineering insights.

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How agentic AI can multiply team output and free engineers to innovate

Agentic AI can help engineers clear backlogs faster without disrupting key priorities.

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Playbook series: Activating your internal AI champions

To turn AI strategy into sustained impact, you need more than tools, you need internal champions who can bring it to life across every team.

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The executive's guide: How engineering teams are balancing AI and human oversight in modern code reviews

Balance AI-powered code review with essential human oversight to enhance the development experience.

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GitHub’s internal playbook for building an AI-powered workforce

How GitHub scaled AI fluency across its workforce by focusing on people not just technology.

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June ‘25 enterprise roundup

In case you missed it…

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Beyond green squares: Effectively driving productivity

Before we can determine the impact of tools on productivity, we need to ensure we're asking the right questions.

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GitHub’s Engineering System Success Playbook

Adopt a systems approach to unlock engineering success and drive business outcomes

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Creating space for developer creativity in high-scale organizations

How do we make room for creativity while managing the increasing complexity that comes with scale?

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Essential GitHub Copilot resources for enterprise teams

Getting started with GitHub Copilot doesn't have to be complicated.

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The art of engineering team focus: less is more

What if the key to shipping more is actually doing less?

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Why developer satisfaction is your best productivity metric

"How do we know if our developers are productive?"

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