Case Summary
SLK partnered with a Fortune 500 manufacturing client to transform their SDLC using GitHub Copilot. By introducing AI-powered tools and practices, SLK enabled developer upskilling, streamlined software delivery, and improved productivity. The phased approach—PoC, scaling, and expansion—delivered measurable efficiency gains, reducing time-to-market and supporting IT innovation.
The Challenge
The client faced challenges with:
- Managing diverse legacy and modern tech stacks
- Varied tech stacks in overall application landscape requires teams that can’t be cross leveraged and optimized
- A CXO mandate to improve IT Build productivity without expanding budgets.
- Developers struggled to consistently leverage advanced AI tools, highlighting the need for tailored training and support.
The Solution
SLK implemented a phased approach:
- Developed GitHub Copilot (GCP) PoCs for diverse project archetypes, capturing efficiency gains.
- Developed AI-infused SDLC practices, training developers in prompt engineering, secure coding and cautious use of AI tools
- Deployed GCP Insights dashboards using GCP APIs to monitor team productivity KPIs.
- Expanded Copilot usage to requirement modelling, test script generation, and configuration automation, boosting efficiency.
Business Impact
- Boosted SDLC efficiency by 30%+
- 55% productivity improvement in code modernization from ASP.NET to ReactJS
- 25% productivity improvement in migration from SQL to Apache Gremlin
- Delivered significant IT Build productivity savings
