The gist: Driver AI is a tool that explains millions of lines of code in minutes instead of months. When you need to do technical discovery, you can use Driver AI’s interactive documentation to understand complex codebases at a fraction of the time and cost.
—The Problem We Got Sick Of
Hi everyone, we’re Adam and Daniel. We’ve spent our careers navigating complex codebases that had little to no documentation and, when it did, often written by engineers no longer with the company. Technical discovery has not only been maddening for us as engineers but also expensive and time-consuming for the business.
It costs teams roughly $500,000 and three months of discovery to unpack one codebase. Multiply that by the number of applications in an organization and you're looking at years of discovery and millions of dollars. Companies can’t invest that much into fully comprehending their existing technology stack, so they either abandon critical projects or the technical debt just keeps piling up.
How We’re Fixing It
Driver AI is a tool that uses LLMs to help teams quickly understand their business-critical systems. We use a simple three-step process:
Comprehend: We ingest your existing codebases, organize them within our platform, and generate internal documentation at various levels of abstraction with LLMs. Our platform comprehends code regardless of language, age, or framework.
Explain: Next, we provide interactive documentation that explains the capabilities of your codebases and how those capabilities are delivered. This documentation is written at the executive, business, and technical levels so anyone in the organization can understand it.
Accelerate Delivery: Now that we’ve slashed the technical discovery process from months to days, you can deliver projects more quickly. Fueled by the context we provide, you can also make better-informed decisions about what to do next, including giving these explanations to LLMs and asking them to do things for you.
Why This is Personal
We’ve been building companies and software at the intersection of signal processing and machine learning for over a decade. Our third co-founder, Jimmy, has led finance and operations for some of the most successful technology companies in the world, from large global leaders to high-growth start-ups.
After selling his last company, Adam led various software efforts in innovation at Nike. But he kept encountering the same problem: Nothing new could be built without a long and very expensive tech discovery process. It was maddening. He soon discovered this problem was everywhere—from enterprise IT to embedded software development teams—and with Jimmy and Daniel built Driver AI to fix it.
Our Ask
Email adam.tilton@driverai.com to try Driver AI and tell us what you think.
Innovators will make the world better, faster. People will attend fewer meetings. Documenting codebases will be quick and enjoyable. Companies will reallocate millions of tech discovery budget to building new things. Our kids won’t believe us when we tell them we used to spend months getting up to speed on software we didn’t even write.