3 ms·
depending on how large your codebase is, hopefully not. At this point use something like the IX plugin to ingest codebase and track context, rather than from t
by frog437 6mo ago
depending on how large your codebase is, hopefully not. At this point use something like the IX plugin to ingest codebase and track context, rather than from the LLM itself.
- frog437 6mo agoThis is crazy.. tokensSaved = naiveTokens - actualTokens - naiveTokens = 19.4M — what ix estimates it would have cost to answer your queries without graph intelligence (i.e., dumping full files/directories into context) - actualTokens = 4.7M — what ix's targeted, graph-aware responses actually used - tokensSaved = 14.7M — the difference
- andoando 6mo agoI mean whatever part of the code that is read by the AI has to be in the content window at some point or another nSprewd throughout your sessions Id think even with a huge codebase, 90% of it is going to be there