Concho AI turns enterprise codebases into a knowledge layer for AI agents
Concho AI today introduced its flagship platform, an artificial intelligence platform that understands software development and application work, providing deep semantic understanding and organization that enable developers and AI agents to transform and modernize massive, sprawling codebases into something manageable.
“Its job is to provide an intelligence level that you would normally get from a high-priced consultant or an architect to anyone who wants to know what the code says,” Chief Technology Officer Bruce Henderson told SiliconANGLE in an exclusive interview.
Now that the software industry is stepping into agentic AI, developers are discovering that agents can generate enormous volumes of code. For greenfield development and smaller repositories, they work well. Frontier models and industry-standard context window sizes let them “see” entire projects at a time, enabling them to gather enough data and knowledge to do significant work.
However, Henderson argues, as projects age, as they reach millions of lines of code across several languages and have passed through multiple generations of developers, this can erode the ability for AI agents to work efficiently and accurately. Also, as time passes in any codebase, something even more terrible happens: developers come to dislike writing documentation, or simply neglect to do so. It’s common for older codebases to contain “shadow” code that exists for a purpose but its operation and value may have been lost when developers left the company years ago.
