CodeSee develops cloud-based data visualization software that provides real-time insights into code dependencies, services, and architecture. This platform addresses the challenge of codebase understanding by enabling developers to quickly visualize and navigate complex code structures, thereby reducing onboarding time and improving code review efficiency.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developers often spend a significant amount of time reading and understanding code, especially in large or complex codebases, due to a lack of clear visibility into code dependencies, services, and architecture. This can lead to slower onboarding, inefficient code reviews, and increased difficulty in debugging and refactoring. Furthermore, knowledge silos can form when developers leave, making it difficult for others to maintain and update the code.
Solution
CodeSee provides a code visibility platform that helps developers understand and navigate complex codebases more efficiently. The platform automatically generates real-time visualizations of code dependencies, services, and architecture, allowing developers to quickly grasp the relationships between different parts of the system. By providing a clear and comprehensive view of the codebase, CodeSee reduces onboarding time, improves code review efficiency, and facilitates debugging and refactoring. The platform also enables teams to standardize development processes, enforce best practices, and prevent bugs before they happen.
Target Audience
CodeSee is designed for development teams of all sizes, ranging from startups to large enterprises, who need to improve code understanding, streamline development processes, and reduce the time spent on code reviews and onboarding.
Features
- Automated code mapping that visualizes dependencies, services, and architecture in real-time.
- Cross-repository visibility, supporting monoliths, service-oriented architectures, and monorepos.
- Function-level logic tracing within the code editor to understand the impact of functions.
- AI-powered code understanding, providing AI-generated code summaries and proactive insights.
- Visual code reviews that highlight related code and dependencies for faster and smarter reviews.
- Automated notifications to ensure the right teams are informed about code changes with relevant context.
- Integration with APM tools and code repositories for quick setup and data synchronization.
- Ability to create filtered views on top of the code to articulate features, tech debt, and ownership.