Use @claude code like pro - part 3 - You are doing #wrong till now #ai #agenticai #claude #nvidia

Stop burning your LLM API tokens. This open-source tool cuts Claude Code costs by 99 percent.
If you use Claude Code or any autonomous AI agent, your biggest hidden cost is token burn. AI repeatedly reads your entire codebase for every minor edit.
An Indian developer just solved this with a powerful open-source tool: code-review-graph.

It uses Tree-sitter and a local SQLite database to build a structural map of your repository. Instead of letting the AI blindly read files, it calculates the "blast radius" of your changes and feeds the AI only the explicitly relevant code.

In real benchmarks, token usage for a single review dropped from 12,500 down to roughly 100 tokens. It supports Python, TypeScript, Rust, and 16 other languages with zero cloud telemetry.

You now have the AI team. You have the compound philosophy. Now you have the token efficiency.

But how do you connect all of these isolated tools into one seamless CI/CD workflow? Part 4 reveals a framework with 93,000 GitHub stars that ties it all together.

Hit Follow so you do not miss it.

Comment “CODE” for repo

[ Claude Code, OpenAI, Anthropic, Jensen Huang, Artificial Intelligence, Machine Learning, MLOps, LLMs, Software Developer, Tech Careers, AI Agents, Generative AI, Coding India, AI Engineering]

Видео Use @claude code like pro - part 3 - You are doing #wrong till now #ai #agenticai #claude #nvidia канала Neil Dave