Ontomics FAQs

Question 1

How does Ontomics benefit AI coding assistants and developers?

Accepted Answer

It provides AI assistants with a rich context of project-specific terminology and conventions, improving code generation and understanding. For developers, it offers quick answers to 'what does this mean?' or 'is this the right name?', reducing onboarding time and ensuring naming consistency across projects.

Question 2

Can the extracted domain knowledge be shared or reused?

Accepted Answer

Yes, Ontomics allows you to export the extracted domain knowledge as a portable YAML 'domain pack'. This artifact can then be used in other projects to bootstrap conventions or share a consistent understanding of domain vocabulary.

Question 3

What is Ontomics and what problem does it solve?

Accepted Answer

Ontomics extracts the embedded domain knowledge – concepts, naming conventions, and vocabulary – directly from your codebase. It makes this knowledge queryable, assisting AI coding assistants and developers in understanding, navigating, and maintaining code consistency, a task traditional search or LSPs cannot fully address.

Question 4

What kind of insights can Ontomics provide about a codebase?

Accepted Answer

Ontomics can query specific concepts and their variants, check identifier names against project conventions, list top domain concepts by frequency, identify naming patterns (like prefixes), track domain changes over time, and locate key code entities related to a concept.

Question 5

What programming languages does Ontomics support?

Accepted Answer

Ontomics currently supports Python, TypeScript, JavaScript, and Rust. It automatically detects the language from file extensions and requires no initial configuration; it indexes your repository on its first run.

Ontomics

Ontomics

Key Features

Use Cases

Key Features

Use Cases