Boosting Manufacturing Innovation through GitHub Copilot-Driven SDLC

Helped improve delivery efficiency by 30% for a Fortune 500 manufacturing client through AI-driven SDLC transformation.

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