Crodox
Crodox is a developer tool that extracts specific components and their full dependency trees from monolithic codebases into isolated, independently runnable Git repositories. Developers work in these scoped environments and merge changes back automatically with conflict detection, while local static analysis ensures source code never leaves the user's infrastructure. The platform also generates token-budget-aware context packages (8k, 16k, 128k) for AI coding assistants like Copilot and Cursor.
- Developer Tools
- Software Only
- Artificial Intelligence
- AI Agents
Funding
Founders
Founder details are not available yet.
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