How We Built an AI That Understands Your Entire Codebase When we started Markar, we asked a simple question: "What if your codebase had an AI brain that understood every line of code, every function relationship, and every dependency at scale?" Most teams treat code like a black box. They don't really understand what happens when they change something. Dependencies are invisible. Impact is unpredictable. We built Markar differently. Instead of just analyzing code statically, we created a living knowledge graph of your entire repository. Every function, class, and dependency becomes a node. Every relationship becomes an edge. The graph learns, updates in real-time, and powers autonomous AI agents that help you write better code. Think of it like giving your engineering team a senior architect who has read every line of code you've ever written, understands all the patterns, knows all the pitfalls, and can predict the impact of any change before you even make it.…