According to @karpathy, DeepWiki improves software malleability by layering AI search and contextual linking over large codebases, accelerating understanding and modification workflows, as reported by his February 11, 2026 thread on X. According to Andrej Karpathy, the tool evolved from simple symbol lookup to rich, cross-referenced, AI-augmented documentation that surfaces call graphs, related files, and design intent, reducing ramp-up time for developers and maintainers. As reported by Karpathy, this creates immediate value in code discovery, onboarding, incident response, and refactoring by transforming unstructured repositories into navigable knowledge graphs. According to Karpathy, the practical business impact includes faster time-to-ship, lower maintenance costs, and improved productivity in large codebases, positioning AI code intelligence as a defensible layer for enterprise developer tooling.