How I reduced AI coding costs by 94% — and built a CLI to do it automatically

udjin310183-svg — Sun, 15 Mar 2026 05:32:28 +0000

Every time you ask Claude or ChatGPT about your code, it reads everything. Your entire codebase. Every single query.
On a 44-file Python project that's 41,160 tokens per query. At GPT-4o prices ($2.50/1M tokens) — $0.10 every time you ask a question. At 50 queries a day,that's $147/month. Per developer.I got tired of this and built https://getkodara.dev.
What it does
Kodara scans your repo once, builds a dependency graph and architectural memory, then returns only the 2–8 files actually relevant to your question.

pip install kodara
cd your-project
kodara init
kodara ask "How does authentication work?"

Output:
## auth/middleware.py
Defines AuthMiddleware. Exports: verify_token, require_auth.
Depends on: jwt_service.py, models/user.py

## auth/jwt_service.py
Defines JWTService. Exports: encode, decode, refresh.

[3/44 modules · 1,840 tokens · 94% reduction]

Paste that into Claude, ChatGPT, Cursor — whatever you use. Your AI now has surgical context instead of reading everything blindly.
Real numbers
Tested on Flask (83 files), FastAPI (1,122 files), Pydantic (532 files):

┌─────────────────────────┬────────────────┬─────────────┐
│ │ Without Kodara │ With Kodara │
├─────────────────────────┼────────────────┼─────────────┤
│ Tokens per query │ 41,160 │ 1,840 │
├─────────────────────────┼────────────────┼─────────────┤
│ Cost per query (GPT-4o) │ $0.103 │ $0.005 │
├─────────────────────────┼────────────────┼─────────────┤
│ Monthly (50 q/day) │ $154 │ $7 │
├─────────────────────────┼────────────────┼─────────────┤
│ Savings │ │ $147/month │
└─────────────────────────┴────────────────┴─────────────┘

The interesting part

I ran an experiment. Scanned Flask, Starlette and Bottle repos with Kodara, fed the .kodara/ context to a free LLM (Kimi K2), and asked it to build a web framework from scratch.
Result: production-ready code with correct Request/Response classes, middleware chain, decorator routing, template engine — all from patterns extracted by Kodara. No source code. No documentation.
The quality isn't in the model. It's in the context.
Other commands

kodara impact auth/middleware.py # What breaks if I change this?
kodara onboard # Reading guide for new devs
kodara history # Most active files by git commits
kodara snapshot # Save project state before refactor

Try it
pip install kodara
Free tier: up to 200 files, no API keys, works with any AI tool.

https://getkodara.dev

DEV Community: udjin310183-svg

How I reduced AI coding costs by 94% — and built a CLI to do it automatically