Deliver AI-empowered Software Factories: KPMG and GitHub Copilot

Artificial Intelligence (AI) has profoundly impacted the software development lifecycle (SDLC), enhancing processes from test automation to integration with project management tools. Among the AI-driven tools transforming this landscape, GitHub Copilot is a standout, acting as an AI pair programmer to boost productivity and code quality for developers of all skill levels.

GitHub Copilot significantly improves the development process by accelerating code production, minimizing boilerplate code, and allowing engineers to focus more on innovation. While it represents just one component of an AI-enhanced SDLC, it underscores the potential of AI technologies to optimize software development. GitHub Copilot addresses common challenges such as ambiguous documentation, limited unit test coverage, code vulnerabilities, and outdated legacy code. It also streamlines the onboarding process for new developers, reducing training time by up to 30% and helping them swiftly adapt to an organization’s codebase. Furthermore, it can accelerate framework upgrades by 25%-35% and cut incident resolution times by up to 35% through its advanced documentation features.

At KPMG, we assist businesses in unlocking GitHub Copilot's full potential. Our professionals collaborate with clients using a value-driven framework, essential tools, accelerators, and resources to ensure a successful GitHub Copilot rollout across the enterprise. We support clients from the initial identification of business use cases to achieving full-scale adoption. Our approach includes tracking and monitoring performance to help clients realize returns on investment and drive measurable value.

Moreover, our teams work closely with developers, equipping them with the necessary tools, workflows, and environments to enhance productivity and performance. From conceptualization to scaling, we engage with teams to optimize value and drive innovation throughout the development process.