🧠 Building an AI That Understands Your Entire Codebase (Technical Deep-Dive) When you have a 100K+ line codebase, understanding it is hard. Not just reading the code - but really understanding it. Knowing which functions call which. Knowing what happens when you change something. Knowing the invisible dependencies that will break your code. We built Markar to solve this. The Problem We Solved Traditional code analysis tools are stateless. They look at a file in isolation. They find syntax errors, style violations, basic security issues. But they don't understand your code's structure, its relationships, or how it all fits together. Result: You push code, tests pass locally, and then something breaks in production because you didn't realize function A calls function B which calls function C across 4 different services. Our Approach: Knowledge Graphs + AI Agents Instead of static analysis, we built a living knowledge graph of your codebase.…