Beyond Code Generation – Realizing AI’s Potential

Overview

When most people think about AI in software development, they think about tools that write code. And for good reason, with developers reporting 55% faster task completion and significant productivity gains.

However,  research shows that actually writing code represents only 8% of the total cycle time from initial idea to production. The other 92% is spent on everything else: planning, coordination, waiting for reviews, testing, and release processes.

What if we’re optimizing the wrong thing? What if the real opportunity isn’t in making developers type faster, but in transforming how we work across the entire delivery process?

Real Examples from Our Client Work

One of our client projects provided the perfect environment to explore this question. It’s one of the most complex initiatives we’ve ever undertaken a $20+ million project spanning six teams, building a system that designs structural components for buildings. The stakes are high: errors in our work could affect real-world safety.

Over the course of this project, we developed dozens of AI-powered tools addressing challenges across three distinct phases of software delivery. What emerged wasn’t just a collection of productivity gains.  It was evidence of a fundamental economic shift that changes what’s possible in software development.

Watch the video recap to hear the full story!