30%
faster completion of user stories
480+
software developers supported with AI tool
12-15%
projected increase in software development productivity
OWNING CHANGE IN TELECOMMUNICATIONS
Our client is a market‑leading provider of network, cybersecurity and telecommunications equipment, serving over 300,000 customers worldwide.
The challenge:Fragmentation Fatigue
Our client needed to elevate software development productivity by reducing context switching and repetitive tasks across their SDLC toolchain. Their in-house development teams were constantly moving between Jenkins, SonarQube, GitHub Actions, and Jira, each requiring separate credentials and user interfaces. This fragmentation increased the developers’ mental load, slowed response time to build failures and code quality issues, and extended the average time needed to complete a feature. To address these bottlenecks, our client required the integration of critical actions and notifications directly within the development environment, the enablement of single sign-on (SSO), and the automation of routine processes. This would enable developers to focus on core business logic, reduce manual workload, and prioritise work that demanded higher‑order thinking. Eager to explore an AI-enabled solution, our client engaged TEKsystems to provide the required expertise and bring their strategic vision full circle.
Our proposal:Engineering Elevation
TEKsystems deployed a team of three AI Engineers and five Full-Stack Python Developers to deliver a robust AI-automated solution that would streamline developer workflows, reduce context switching, and embed critical tooling directly into the Integrated Development Environment (IDE). Leveraging Python (Core and ML), GPT‑4, GPT‑5, and other cutting-edge technologies, our team executed a structured, three‑phase approach that enabled rapid integration, continuous enhancements, and scalability.
- Phase 1 (Completed): Integrated Jenkins and SonarQube into the developer IDE, enabling single sign on, real-time notifications, and simple console commands.
- Phase 2 (Ongoing): Adding GitHub Actions and Codex, enabling automated commits and pull requests from the IDE, powered by GPT‑5 and Perplexity.
- Phase 3 (Upcoming): Preparing to introduce automated script generation for Java classes, allowing developers to focus on business logic.
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Real-world Results
Since its rollout, the AI‑enabled solution has delivered substantial, measurable uplift across software development productivity, collaboration, and code quality. Its global adoption demonstrates clear operational value, with teams experiencing faster delivery cycles, reduced cognitive load, and stronger security and governance outcomes.
- Delivery Speed and Productivity: Average user story completion time reduced by 30% improvement. Developers now spend less time on repetitive tasks and more on meaningful coding, which has boosted morale and engagement.
- Adoption and Scale: The AI tool is now used by 470–480 developers across global teams in the US, UK, Japan, China, and Singapore. Teams report smoother collaboration and a more consistent workflow, regardless of location.
- Time Reclaimed: Developers reclaimed up to 2.5 hours per day previously lost to administrative tasks and tool switching. This extra time has allowed for deeper focus on problem-solving and innovation.
- Quality and Responsiveness: Instant IDE alerts for Jenkins and SonarQube issues have improved response times and code quality. Developers feel more confident in catching and fixing issues early, reducing stress and rework.
- Operational Simplicity: SSO and IDE integration have simplified workflows and reduced cognitive load. The streamlined process has made daily work less frustrating and more efficient.
- Governance and Security: OAuth 2 authentication supports remote work and keeps actions auditable. Software development teams across the globe appreciate the balance of security and convenience, which has resulted in greater end-user satisfaction.