AI-Native Engineering Briefing
Details
AI-Native engineering (AINE) is a methodology where human–AI collaboration transforms and accelerates how digital and physical solutions are created and operated. Leveraging AI capabilities across the development lifecycle helps teams plan, build, test, modernize, and operate solutions with greater speed, efficiency, and quality - while humans remain accountable for outcomes.
In this briefing, WWT experts will cover the AI Native Engineering in the software engineering landscape — from understanding today's coding assistant tools to charting a safe, strategic path toward enterprise-scale AI adoption across the full development lifecycle. Topics include:
- The shift from manual coding to AI-Native Engineering
Enterprise adoption of AI coding assistants grew from 10% in 2023 to 63% in 2024. Today's projections are 90% adoption by 2028. Organizations using these tools today are achieving 20–40% faster development cycles — and coding assistants are only the first step toward a fully AI-native engineering practice. - What AI coding assistants are and how they work
Unlike general-purpose chatbots, AI coding assistants are purpose-built for software development — helping teams write, review, debug, and optimize code directly within their existing workflows. The market spans a spectrum from IDE-integrated assistants (GitHub Copilot, Cursor, Windsurf) to prompt-to-app builders and fully autonomous coding agents. - The business challenges they solve
AI coding assistants directly address the most pressing issues facing development organizations: talent shortages, pressure to accelerate time-to-market, aging code bases that need modernization, quality and security risks, and the competitive threat of falling behind peers already scaling AI. - How to navigate a crowded, fast-moving market
New tools and features appear monthly, and today's leader may be tomorrow's runner-up. WWT Research has hands-on tested and evaluated the leading tools across five enterprise dimensions — AI autonomy, contextual understanding, user interface, collaboration, and governance — so you don't have to start from scratch. - WWT's Evaluate → Enable → Validate approach
WWT helps organizations move from curiosity to measurable impact through a structured engagement model — from confidently selecting the fit-for-purpose tools for your environment to driving real adoption in production repositories and pipelines, and expanding AI-native practices across the enterprise.
What is a Briefing?
A scheduled event with a WWT subject matter expert — typically via a virtual meeting — where our expert presents an overview of specific topics, technologies, capabilities or market trends. Your attendees are allotted time for Q&A to pose questions specific to your organization.
Who Should Attend?
Executive IT, AI, digital and engineering leaders across vertical industries.