AI-powered coding assistants are rapidly compressing the time it takes to build software and delivering a competitive advantage that can lead to transformational outcomes. But according to WWT Co-Founder and CEO Jim Kavanaugh, the bigger shift is organizational: companies must rethink leadership, data strategy and workforce skills to compete in an AI-native world. In this episode of the AI Proving Ground Podcast, Jim shares his vision for how coding assistants are emerging as one of the most practical and disruptive use cases in enterprise AI.

As AI spreads beyond developers into every workflow, the differentiator shifts from tools to leadership. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh argues that winning in AI will lean heavily on culture: how fast an organization can learn, adapt and change. The new leadership challenge is moving fast without creating downstream chaos.

AI is having a transformative impact on enterprise engineering, highlighted by the predictions that most code will be AI-generated in the near future. WWT's Manju Palakkat reviews how AI will shift from being a tool to acting as a core teammate throughout the software product lifecycle. Manju discussed the concept of AI-Native engineering where AI is integrated across all stages, enabling humans to focus on intent, architecture and oversight. Manju then reviewed the AI-Native Maturity Model, showing that most organizations are still in the early stages of AI adoption, with the goal being full AI-first operations and multi-agent orchestration.

As AI innovation intensifies, one domain is already feeling the impact: software development. In this episode, WWT experts Nate McKie and Andrew Athan explore how AI-powered coding assistants are improving developer productivity and reshaping enterprise engineering. From Copilot to agentic tools capable of autonomous code generation, they examine how organizations are navigating this transition, balancing speed with quality and redefining the role of human developers. Whether you're leading a dev team or charting your company's AI roadmap, this is a must-listen for understanding the real-world implications of AI in engineering.

Break down barriers to innovation and empower your teams to deliver secure, sustainable IT automation faster than ever before.