HCLTech client achieves 25% faster software development and 60% productivity gain with Google Gemini Code Assist
HCLTech deployed Google Gemini Code Assist for an unnamed client (likely Mattel, based on source asset metadata), delivering 25% faster development from scratch, 60% improvement in unit test coverage productivity, and 80% time savings in manual scripting — without adding headcount.
Background
The unnamed HCLTech client maintained a vast catalog of middleware services. Scaling and maintaining those services was constrained by niche technical skillsets, leading to high onboarding costs, project delays, and cost overruns. The company sought to enhance productivity without expanding headcount.
What Was Implemented
- HCLTech deployed Google Gemini Code Assist for middleware service development and testing
- Use cases: creating services from scratch, generating unit test coverage, automating manual scripting tasks
- Goal: improve developer productivity, reduce repetitive task burden, and improve software quality — no headcount increase
Results
- 25% faster development when creating middleware services from scratch - 60% improvement in productivity for achieving comprehensive unit test coverage - 80% time savings in scripting manual tasks - Headcount held constant throughout
Lessons
- AI coding copilots deliver differentiated gains across task types (writing new code vs. test coverage vs. scripting) — the 60% and 80% gains are in specific sub-tasks, not a uniform overall boost
- Middleware-heavy organizations with niche skillsets can use AI copilots to reduce onboarding dependencies
- Vendor case studies that decline to name the client limit reproducibility and independent verification