GitHub business insights
Playbook series: Communities of practice
Your AI knowledge is vanishing in private chats. It's time to build Communities of Practice—the engine that transforms scattered individual insights into collective, scalable organizational intelligence.
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.
Why developer satisfaction is your best productivity metric
How do we know if our developers are productive?
Playbook series: Creating clear AI policies and guardrails
By creating clear, practical policies and a framework for tiered tool usage, companies can build the trust necessary to empower employees and safely scale AI adoption.
How engineers strategically use AI agents for improved business outcomes
AI agents help engineers work differently, unlocking new capabilities for organizations.
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.
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.
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.
GitHub’s Engineering System Success Playbook
Adopt a systems approach to unlock engineering success and drive business outcomes
GitHub for Leaders: Applying AI agents to software development
How Bayer boosted developer productivity and innovation (and job satisfaction) with AI.
3 keys for engineering improvement: listen, act, and learn
Reimagine engineering success: measure with purpose, invest in improvements, and build a learning culture.