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Briefing•1 hour
AI-Native Engineering Briefing
From coding assistants to autonomous coding agents, AI is reshaping how software gets built. This session explores the evolution of the modern SDLC—how no-code, low-code, and pro-code approaches are converging in an AI-native world—and what it means for developers, architects, and the organizations that depend on them. Attendees will leave with a practical lens on tooling, team readiness, and how to accelerate software delivery with AI as a core engineering partner.
Details
AI is fundamentally changing how software is built, deployed, and operated. In this briefing, WWT experts will cover the AI Native 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 has grown from 10% in 2023 to 63% in 2024, with projections reaching 90% by 2028. Organizations adopting 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 right 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 live Webex 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 leaders, engineering leaders, IT leaders across all industries