Launched this week
Token Saver
Portable efficiency layer for AI coding agents.
3 followers
Portable efficiency layer for AI coding agents.
3 followers
Token Saver is an MIT-licensed, vendor-neutral efficiency layer for AI coding agents. It routes different context to complementary optimization tools while exact engineering evidence stays raw and project rules always win.
Hi Product Hunt 👋
I built Token Saver after experimenting with several ways to reduce wasted context when AI coding agents work on large projects.
What bothered me was that useful token-saving tools often solve different problems, but simply stacking them can make things worse.
So Token Saver follows one rule: one optimization layer per context surface.
History → semantic memory
Current code → structural code intelligence
CLI/build noise → output optimization
Large general context → context assurance
Exact engineering evidence → untouched
It’s vendor-neutral, MIT licensed, and deliberately yields to the host project whenever rules conflict.
Installation is now as simple as:
npx @sudowhat/token-saver@latest install
I’d especially value feedback from developers using AI agents on large codebases: what context/token waste are you still seeing that this architecture doesn’t cover?