As Impact’s development team encountered increasing inefficiencies in their workflow, it became clear that repetitive coding tasks, slow development cycles, and extensive debugging were limiting productivity.
To address these challenges, we integrated GitHub Copilot AI to alleviate the key pain points and help our developers work smarter. See how our implementation led to an ROI of almost 4,800%.
The Problem: A Slowed Down Development Process
Our developers faced several obstacles that slowed down the development process, including:
- Repetitive code copying
- Inefficient coding practices
- Poor code organization
- Redundant tasks
- Debugging
All of these tasks are time-consuming efforts that lead to bottlenecks, reducing the time available for innovation and strategic work and delaying project timelines.
To maintain agility and improve efficiency, we needed a solution that could automate routine coding tasks while enhancing overall code quality and organization.
The Solution
To streamline development workflows, Impact adopted GitHub Copilot, an AI-powered coding assistant that reduces the need for manual code writing and improving overall efficiency in a few major ways:
- Providing real-time code suggestions to increase productivity for developers and remove mental blocks when writing code
- Automating documentation generation to cut down review time and ensure better code organization
- Debugging capabilities to allow developers to identify and fix issues faster
By reducing redundant tasks and enhancing productivity, developers were able to focus more on high-value, strategic projects that drive innovation.
The Results
The integration of GitHub Copilot significantly improved developer efficiency at Impact with a 23% increase in coding efficiency and a 17% improvement in code quality.
