Seems interesting will definitely give it a try. Few observations/ questions from reading the documentation- > Continue will only be as helpful as the LLM you are using to power the edits and explanations

Are there any others apart from gpt4 suitable for programming copilot tasks ?

> If files get too large, it can be difficult for Continue to fit them into the limited LLM context windows. Try to highlight the section of code that include the relevant context. It's rare that you need the entire file.

Most of the value and real world use case benefits come from usage in a brownfield development where a legacy code isn’t well understood and is large (exceed current LLM context ?)

> telemetry through posthog Can organisations setup their own telemetry and development data collection to further analyse how and where the Copilot is being used ?

> Finops How does one get visibility of token / api usage and track api spends ?