AI coding assistants: the cache your team didn't know it was sharing
Every developer on your team asks the assistant the same questions about the same codebase. With Crowkis behind MCP, the second ask is free for everyone.
Coding assistants have a team-shaped repetition pattern: everyone works in the same repository, hits the same APIs, and asks the same 'how does our auth middleware work?' within days of each other. Each developer's assistant dutifully re-purchases the explanation, because their sessions share nothing. The codebase is common; the memory isn't.
Crowkis behind MCP fixes the sharing: crowkis mcp registers the cache as a tool in Claude Code or any MCP-capable assistant, and lookups happen before tokens burn. One developer's answered question becomes the whole team's sub-millisecond hit — doc lookups, error explanations, dependency questions, the lot.
Five agents asking one question should cost one answer.
Stale-code worries are handled the way everything here is handled: explicitly. Tie TTLs to repo activity, invalidate entries for changed files via webhook, and let the freshness gate decay confidence on aging explanations. An explanation of code that changed yesterday won't clear the gate today.
The bottom line
Setup is one config block and the binary you already run for your app traffic — the same Crowkis instance happily serves both. Your assistants get collective memory; your token bill gets a team discount it never had.