AI Coding Copilot with control and visibility over context window
docs.double.bot
docs.double.bot
Been surprised to read that a lot of developers still prefer to copy-paste from tools like ChatGPT and Claude AI when using LLMs to code, instead of relying on retrieval algorithms and blackbox UIs.
Often citing that the lack of visibility makes it hard to understand what parts of their codebase are actually being sent to the LLM, and expressing disappointment that these retrieval mechanisms are not as good as their own manual curation (they know their codebase better than anyone else after all).
We understand that engineering the context inside and across context windows is a huge factor in getting an LLM to produce high quality code. That's why we've built our copilot prioritizing visibility over the context window, and giving the user the tools to carefully curate codebase snippets instead of automating the context retrieval (to this day we do not have automatic context retrieval).
If this describes your experience and want to try it out, Double is free to download and has a generous free trial. At this stage we're trying to get as much feedback as we can get and would appreciate any thoughts you have to share :)