Dzhogor C.

I focus on AI-assisted software engineering, context engineering, and building systems that turn complex requirements into runnable, testable software. My primary interest is improving how language models work with large codebases: giving them structured access to source code, entities, dependencies, constraints, and revision history to reduce architectural drift across iterations. I develop tools and workflows for program analysis, semantic code retrieval, versioned code composition, automated validation, performance profiling, and reproducible experimentation. My broader experience includes procedural 3D environments, interactive browser runtimes, and data-oriented architectures using Python, C/C++, JavaScript, Three.js/WebGL, SQL, and Git. I'm particularly interested in making AI-assisted development more deterministic, inspectable, and measurable.