Accelerating Product Development with Gen AI | AI in SDLC

In this video, we explore how AI-Accelerated Product Development transforms traditional engineering workflows by embedding AI across the entire product lifecycle — from ideation and design to development, testing, and deployment. The walkthrough covers four key phases: Workflow Analysis – Identifying bottlenecks in existing product development processes. AI Integration Strategy – Mapping the right AI tools and models to each stage of the lifecycle. Process Redesign – Reworking planning, coding, QA, and release workflows around AI-assisted execution. Impact Validation – Measuring velocity gains, quality improvements, and team adoption outcomes. Whether you're a product manager, software architect, engineering leader, or developer, this video offers practical insights into how AI is reshaping the speed and quality of building products — without compromising engineering rigor. If you found this video helpful, don't forget to Like, Share, and Subscribe for more content on AI-driven engineering, product development, and software architecture. Visit www.byteridge.com to learn more!