Revolutionizing software development with GitHub Copilot
KPMG and GitHub Copilot: Revolutionizing the software development lifecycle
The future of software development is here: Are you ready?
The software development lifecycle (SDLC) is undergoing a revolution fueled by advancements in artificial intelligence (AI). As organizations strive to modernize legacy code, generate new code, and enhance code resiliency, they are increasingly looking to AI-enabled solutions aimed at optimizing the development process. In fact, the advantages of AI-enabled coding go beyond the rapid production of sound, scalable, and maintainable code and codebases. By-product gains include boosting efficiency, reducing costs, achieving faster time to market, improving user experience, and accelerating innovation and competitive advantage. To secure the most benefit from SDLC automation and achieve your business goals, KPMG believes that three components are critical—choosing the right platform and tools, implementing a structured, iterative roll-out, and cultivating a skilled internal team with a culture focused on continuous learning and improvement to help you make it happen.
Harness the power of AI: GitHub Copilot
Earlier versions of automated code generation were limited in functionality and required substantial oversight and input from software developers. The incorporation of AI into SDLC has changed all that. GitHub Copilot is a case in point. An AI pair programmer, GitHub Copilot is designed to augment the efforts of developers, allowing them to write code faster by providing real-time code suggestions and assistance as code is being typed. GitHub Copilot integrates with various code editors and functions as a smart coding assistant, offering line completions and even entire blocks of code, reducing boilerplate code and expediting the entire coding process. Because it harnesses machine learning models trained on extensive code repositories and surrounding files, it can offer intelligent and relevant context-appropriate code completions, becoming an invaluable asset in software development.
The benefits are substantial: GitHub Copilot boosts coding speed, reduces repetitive tasks, improves code accuracy, and identifies potential vulnerabilities in real-time. This combination leads to higher quality code and more efficient development cycles. The tool also expedites onboarding for new developers, reducing training time by up to 30 percent, and speeds up framework upgrades by 25-35 percent. Additionally, it streamlines documentation, cutting down incident resolution times by up to 35 percent.1
1“GitHub Copilot: The World’s Most Widely Adopted AI Developer Tool.” GitHub. 2024
Enabling AI-powered factories
KPMG can help actualize the potential of GitHub Copilot by providing strategic support to organizations on their AI-driven software development journey. Using a value-led framework, we ensure successful and scalable deployment of GitHub Copilot, tailored to each enterprise's unique needs.
Our adoption journey includes three key phases:
Initial exploration of GitHub Copilot's capabilities through small-scale implementations.
Extended use across more teams, refining best practices.
Broad integration into development workflows.
Throughout these phases, KPMG collaborates with clients to identify business use cases, track performance, and ensure measurable value realization. We provide the necessary tools, workflows, and training to maximize productivity.
Accelerating adoption
To streamline the adoption process, KPMG offers several accelerators:
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KPMG tools and guidance facilitate a smooth deployment of GitHub Copilot, helping organizations get their AI-enabled SDLC initiatives up and running quickly, to achieve faster return on investment (ROI), and gain a competitive edge. Our longstanding alliance with Microsoft and GitHub provides unparalleled insights and enhanced software development support capabilities.
A state government agency cracks the code
KPMG introduced GitHub Copilot at a major state government agency to fast-track their AI-enabled SDLC transformation. The result was a 35 percent improvement in developer performance. GitHub Copilot reduced error triage, improved unit test coverage, expedited documentation generation, and facilitated the adoption of new frameworks.
Ready to optimize your SDLC performance?
KPMG can help you unlock the full potential of GitHub Copilot and help you enjoy all the benefits of adopting AI-enabled SDLC in your organization. Our strategic guidance, extensive frameworks, and dedicated support all help ensure sustained success. Whether you are starting or scaling your AI journey, KPMG is your go-to partner to drive innovation and operational excellence.
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