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Beyond Code Generation: Building a Governed AI Engineering Lifecycle with OpenCode

Beyond Code Generation: Building a Governed AI Engineering Lifecycle with OpenCode

08 Jul 202616:00 - 18:00 Asia/KolkataNoida, India0 AttendeesOpen

Description

Complimentary refreshments and a networking reception will be served! AI adoption in engineering has rapidly moved beyond code generation but most organizations are still struggling to translate that into real, governed impact across the software delivery lifecycle. This exclusive in-person Open House brings together engineering and technology leaders to explore how OpenCode can enable a connected, AI-assisted engineering lifecycle i.e., from requirements and documentation to development, DevSecOps, and delivery. The session will focus on practical, real-world adoption, including: What you will see: This is not a theoretical discussion or a “code assistant demo.” You will see how OpenCode can be applied across the end-to-end engineering workflow. Session Format & Agenda: What you will be able to do: By the end of this session, you will understand how to apply OpenCode across the full engineering lifecycle — from requirements through release — while embedding governance, traceability, and control from the start. You will gain a clear view of how to connect tools like Confluence, Jira, GitHub, and CI/CD into a unified, AI-assisted workflow, adopt a shift-left approach to reduce rework and technical debt, and define a practical, real-world path to scaling AI in regulated engineering environments. Who should attend: This session is designed for senior technology and engineering leaders in regulated, compliance-driven environments, including CTOs, CISOs, VP/Directors of Engineering, Engineering Managers, and Enterprise/Solution Architects. It is also highly relevant for DevOps, Platform, and DevSecOps leaders responsible for building secure, scalable, and governed delivery pipelines across industries such as FinTech, HealthTech, InsurTech, semiconductor, automotive, and defense. If you’re evaluating how to scale AI in engineering without compromising governance, this session will give you a clear, practical starting point. Key Takeaways:

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