What I’m reading so far seems to be:
-selective use of models based on task complexity
-encoding large repos into more digestible and relevant data structures to reduce constant reingesting
-ask Claude to limit output to X tokens (as output tokens are more expensive)
-reduce flailing by giving plenty of input context
-use Headroom and RTK
-disable unused MCP, move stuff from CLAUDE.md to skills
But I’d love to learn if anyone has any good tips, links, or tools as I’m getting rate limited twice a day now.