BrowserStack Meetup Hamburg: How SDLC is Evolving into AIDLC
Software engineering is undergoing a fundamental shift. AI is rapidly transforming the traditional Software Development Life Cycle (SDLC) into the AI Development Life Cycle (AIDLC), impacting how QA professionals approach development, testing, and deployment. This is a crucial moment for quality professionals to adapt their skills and strategies.
Join us online to explore this essential paradigm shift. Udit Gattani will reveal how intelligent systems integrate into test generation, code reviews, and CI/CD pipelines. You'll learn how to effectively steer autonomous AI pipelines for enhanced quality. Reserve your spot today to stay ahead in AI-first engineering.
What Will You Learn
You'll grasp the core differences between traditional SDLC and the new AI-driven AIDLC.
You'll learn how AI can be integrated across your development cycle, from requirements to deployment.
You'll understand the changing role of QA, moving from manual to AI pipeline management.
You'll discover strategies for adapting your engineering team to AI-first principles.
Agenda
How SDLC is Evolving into AIDLC: You'll gain a clear understanding of the fundamental shift from traditional SDLC to adaptive, AI-driven development workflows.
Integrating AI into the Lifecycle: You'll discover practical ways to integrate intelligent systems into requirements, automated test generation, code reviews, and CI/CD pipelines.
Evolving the Quality Role: You'll learn how QA and DevOps engineers can transition from manual orchestration to effectively steering autonomous AI pipelines for better quality.
Who Should Attend
QA Engineers
SDETs
Software Architects
Engineering Managers
DevOps Specialists If you're looking to future-proof your career in quality and software development, reserve your spot today.