A leading software development and AI solutions provider, specializing in modern application development across multiple industries, was experiencing challenges as it scaled. With demand for its technology solutions growing, the company struggled to maintain engineering efficiency and consistent development velocity.
Key obstacles included:
- Slow Development Velocity: Too much time was spent on repetitive coding, which delayed feature delivery.
- Inefficient Workflows: Frequent context switching disrupted productivity and hindered momentum.
- Inconsistent Code Quality: Lack of structure led to less maintainable code and uneven application of best practices.
- Collaboration Gaps: Teams were not consistently aligned on standardized coding practices, limiting efficiency in peer reviews.
- Resource Allocation: Developers were spending valuable time on routine coding instead of innovation and higher-value work.
To address these challenges, Lunavi implemented a structured GitHub Copilot adoption strategy. The approach was designed to empower employees to use Agent Mode, transforming Copilot from a reactive assistant into a proactive AI pair programmer capable of autonomously planning and executing coding tasks.
The program included:
- Developer Enablement: Hands-on workshops, AI assistant training, coding best practices, and ongoing support.
- AgilityHealth Radar Assessments: Regular measurement of team efficiency, code quality, and adoption impact.
- Performance Monitoring: Real-time tracking of improvements using structured productivity assessments.
This solution streamlined coding processes, improved code quality, and fostered stronger collaboration across development teams.
By leveraging GitHub Copilot and performance tracking, the company achieved measurable improvements in engineering efficiency, collaboration, and overall performance.
- Improved Code Quality – 42% Reduction in Coding Errors
AI-assisted code generation produced cleaner, more maintainable code while significantly lowering error rates. - Increased Code Maintainability – 39% Improvement
Standardized coding practices and intelligent scaffolding improved long-term maintainability and reduced technical debt. - Accelerated Development Cycles – 38% Faster Code Generation
More features were delivered per sprint, reducing time-to-market and boosting agility. - Enhanced Collaboration – 31% Boost in Boilerplate Code Automation
Automation of repetitive coding tasks freed developers to focus on innovation and improved peer code review efficiency. - Greater Developer Satisfaction
With less friction in daily workflows, developers reported higher engagement and satisfaction.
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