Crodox is a developer tool that extracts components and their full dependency trees from complex codebases into isolated, runnable Git repositories, enabling focused development and seamless reintegration. The platform runs static analysis locally so source code never leaves the user's infrastructure, and it generates token-budget-aware context packages for AI coding assistants like Copilot and Cursor. This approach accelerates onboarding, supports secure outsourcing, and reduces the attack surface for AI-driven workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Developers working in large, monolithic codebases face slow onboarding, frequent merge conflicts, and difficulty scoping work for individual teams or external contractors. AI coding assistants also struggle with oversized context windows, leading to inefficiency, security risks, and a larger attack surface when the entire codebase is exposed.
Solution
Crodox provides a tool that extracts a specific component along with its complete dependency tree into a separate, clean, and independently runnable Git repository. Developers work in this isolated environment without distraction, then merge changes back into the main codebase automatically with conflict detection and dependency validation. The platform performs static analysis locally, ensuring source code never leaves the user's infrastructure, while only structural metadata is exchanged. Crodox also generates token-budget-aware context packages for AI agents, enabling scoped, auditable AI-assisted development within LLM limits.
Target Audience
Primary users are software engineering teams and engineering managers at mid-to-large companies working with complex, monolithic codebases who need to accelerate onboarding, enable secure outsourcing, and improve AI-assisted development workflows.
Features
- Extracts components with full dependency tree resolution into isolated, runnable Git repositories
- Local static analysis with zero code access—only dependency metadata leaves the infrastructure
- Token-budget-aware context generation (8k, 16k, 128k) for AI coding assistants
- Native integrations with Copilot, Cursor, and custom AI agents
- Automated merge-back with conflict detection, full diff tracking, and dependency validation
- Component-level access control for secure parallel development and outsourcing
- Visual dependency map with automatic detection of module boundaries and hidden couplings
- Full audit trail of AI-generated changes per module