# Coding One of the fastest-growing applications for LLMs is coding. A rising number of open-source coding tools let users integrate their preferred LLMs. Pairing these tools with privacy-preserving LLMs ensures your source code remains secure, cannot be used for training, and won’t be leaked. Additionally, they provide precise cost control down to the token level, avoiding expensive enterprise subscriptions. You can connect any coding agent that supports OpenAI-compatible endpoints. Here are quickstart guides to help you get started with some of the most popular tools: * [Opencode](/integration-examples/coding/opencode.md) * [Kilo Code](/integration-examples/coding/kilo-code.md) * [Cline](/integration-examples/coding/cline.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.cortecs.ai/integration-examples/coding.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.