AI in Software Engineering: What Changes, What Does Not, and Who Wins?
Everyone is talking about AI-powered software development. Far fewer people are asking what is actually happening inside engineering teams.
Are start-ups building software with AI in ways that large corporates can't? Does AI enable more people to build software, or does it mainly make experienced engineers more productive?
In this one-hour webinar, we'll compare how developers, start-ups, SMEs, and enterprise teams are using AI across planning, coding, testing, review, and documentation. We'll explore where AI is creating genuine productivity gains, where it can introduce security risks or technical debt, and what it means for the future of software engineering.
Key Questions We'll Explore:
How differently are experienced developers, start-ups, SMEs, and large corporates actually using AI?
Where does AI improve productivity and quality, and where can it create security risks, technical debt, or false confidence?
Which parts of software engineering benefit most from AI, and which still depend on human expertise?
Is AI broadening who can build software, or mainly making skilled engineers more effective?
Who Should Attend?
Software engineers and technical leads
CTOs and engineering managers
Founders building technology products
Product, innovation, and transformation leaders
Researchers and students interested in the future of software engineering
Speakers (TBA)
This session brings together practitioners, researchers, and industry experts working at the intersection of AI and software engineering.
Whether you're building software, leading engineering teams, or shaping AI strategy, this session will help you make better decisions about where AI belongs in your development process.
Register now to join the discussion and bring your questions to the panel.