AutoKT
AutoKT Overview
AutoKT is a developer-centric documentation engine designed to evolve with your codebase. It integrates with your version control hub, analyzing code changes and generating updated documentation accordingly. This ensures that your documentation never becomes outdated, even in a dynamic development environment where new features are constantly being shipped and bugs fixed. The final approval of the generated documentation is always in your hands, with the engine learning from your feedback to improve its output. The approved documentation is stored as vector embeddings, providing an easy-to-use interface for querying your codebase.
AutoKT Highlights
- AutoKT integrates with your version control hub, automatically updating your documentation with every code change.
- The engine learns from your feedback, improving its output over time.
- Approved documentation is stored as vector embeddings, allowing for easy querying of your codebase.
Use Cases
A software development company is working on a large project with a rapidly evolving codebase. They use AutoKT to ensure that their documentation is always up-to-date. The tool integrates with their version control hub, automatically analyzing code changes and generating updated documentation accordingly.
The company's documentation is always current, even as new features are constantly being shipped and bugs fixed. This saves the team significant time and effort in manual documentation updates, and ensures that all team members have access to the most recent information about the codebase.
A software developer is not satisfied with the quality of the automatically generated documentation. They provide feedback to AutoKT, which the engine uses to learn and improve its output over time.
The quality of the documentation improves, becoming more useful and relevant to the developer's needs. This helps the developer work more efficiently and effectively, as they have access to high-quality, up-to-date information about the codebase.
A team of developers needs to find specific information in their large and complex codebase. They use AutoKT, which stores approved documentation as vector embeddings, to easily query the codebase.
The developers are able to quickly and easily find the information they need, without having to manually search through the entire codebase. This saves them time and effort, and allows them to focus on their primary task of writing and improving code.