
Wesley Fuchter
Wesley Fuchter is Director of Software Engineering at Modus Create, where he spends his time turning AI coding tool experiments into organization-wide practice. After leading a structured A/B experiment that demonstrated a 40% reduction in development time, his focus shifted to the harder challenge: getting a full engineering team to actually leverage agentic coding. His team built the knowledge-sharing systems, workshops, and practical resource libraries that are driving the shift. With 14+ years in cloud architecture, enterprise modernization, and engineering leadership across healthcare, fintech, and Fortune 100 organizations, Wesley brings a practitioner's perspective, including what didn't work. He holds the AWS Solutions Architect Professional certification and has previously spoken at worldwide tech conferences.
Vibe Coding at Enterprise Scale: What Happens When AI Joins Your Dev Team
AI Coding Summit
22 min
Vibe Coding at Enterprise Scale: What Happens When AI Joins Your Dev Team

What if you let AI code alongside your devs—would it speed things up or slow them down? At Modus Create, we ran a 3-month internal experiment to find out. Two squads were tasked with building the same app: one squad had full access to AI coding agents like GitHub Copilot and Cursor, while the other worked with zero AI assistance. The results? Surprising, nuanced, and extremely relevant for any enterprise thinking about bringing AI tools into their software delivery process. In this session, we'll share productivity metrics, insights on code quality, cultural impact, and what we learned about pairing developers with AI. You'll walk away with a real-world perspective and a practical guide on how to scale AI-powered development across your engineering org—without the hype.
Vibe Coding at Enterprise Scale: What Happens When AI Joins Your Dev Team
Vibe Coding at Enterprise Scale: What Happens When AI Joins Your Dev Team

What if you let AI code alongside your devs—would it speed things up or slow them down? At Modus Create, we ran a 3-month internal experiment to find out. Two squads were tasked with building the same app: one squad had full access to AI coding agents like GitHub Copilot and Cursor, while the other worked with zero AI assistance. The results? Surprising, nuanced, and extremely relevant for any enterprise thinking about bringing AI tools into their software delivery process. In this session, we'll share productivity metrics, insights on code quality, cultural impact, and what we learned about pairing developers with AI. You'll walk away with a real-world perspective and a practical guide on how to scale AI-powered development across your engineering org—without the hype.