GitHub business insights
Essential GitHub Copilot resources for enterprise teams
Getting started with GitHub Copilot doesn't have to be complicated.
Turn engineering knowledge into a scalable advantage with AI agents
While AI in software development is often seen as a tool for code generation, a more holistic approach can unlock its full transformative potential across the entire engineering system.
2 million conversations and counting: How Copilot is scaling customer success
Discover how GitHub Copilot for Customer Success is transforming support, adoption, and growth by combining trusted human expertise with AI-driven guidance.
Shift left the right way - creating more secure apps
Bring security to your developers, and developers to your security, the right way.
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.
How agentic AI can multiply team output and free engineers to innovate
Agentic AI can help engineers clear backlogs faster without disrupting key priorities.
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.
How to use GitHub Security Overview to manage security debt
GitHub Security Overview makes it easier to monitor vulnerabilities so that you can take action on remediating them and securing your organization.
Don't repeat yourself - automate all the things
Drive increased productivity, reusability, and security by automating your DevOps pipelines.
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.