Day 3: Autonomous Quality and AI-Driven Developer Velocity
Join us for the third day at Singapore FinTech Festival 2025 on Wednesday 14 November
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On the final day of Amdocs Studios, we look ahead to the future of zero-touch testing and AI-powered development. Discover how unsupervised GenAI enables self-evolving quality engineering, reducing manual effort and ensuring resilient systems. Then, explore how AI-driven Cloud Development Environments accelerate developer velocity by automating the journey from issue tracking to deployed code. These sessions are designed for technology leaders who want to embrace full autonomy and unlock next-level productivity.
Day 3 Sessions
Self-Evolving Quality: Unsupervised GenAI for Zero-Touch Testing
- Date: Friday, November 14th
- Time: 10:00
- Speaker: Rafi Massarwa, Profesional Service Lead – Quality Engineering, Amdocs
- Synopsis: Manual testing can’t keep up with the speed and complexity of today’s digital systems. Explore the future of autonomous quality engineering powered by Amdocs brAIn. From anomaly detection to self-healing pipelines, discover how unsupervised AI reduces manual overhead and ensures resilient, always-on quality assurance.
From Issue Label to Deployed Code: Accelerating Developer Velocity with AI-Powered Cloud Development Environments
- Date: Friday, November 14th
- Time: 13:00
- Speaker: Lewis Tang, Amdocs Cloud
- Synopsis: The journey from defining a development task to completing it is often hindered by manual context-switching and setup overhead. This talk presents a Cloud Development Environments (CDE) solution that achieves true Autonomous Task Development by integrating directly with standard development workflows. We will demonstrate a crucial mechanism where the Issue Tracker (e.g., Github Issues) serves as the starting trigger. When an issue is labeled (e.g., 'cde-ai'), automation within the repository extracts the issue scope and passes it through as a prompt to a suitable automation template within the CDE solution via an API call. This triggers the launch of a workspace that is pre-configured with all tooling and access required to perform the task autonomously, leveraging AI Tooling Configuration for task execution.
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