
Bharat Suneja
6.5K posts

Bharat Suneja
@bsuneja
Sr. Cloud Architect | AI/ML builder | AI is coming for your legacy infra | Formerly: @Microsoft, Exchange MVP | Claude Code | https://t.co/gpqdY7kyJd








Did every AI founder, PM, and developer figure this out at the same time? Mac Mini M4 Pro 64GB delivery: now August. 😅 Once your AI agent runs 24/7, two things hit fast: → Cloud LLM costs don't sleep either. → Ask your agent to clean your inbox. Guess where all your email's going? Local LLM isn't nice to have. It's the architecture. The backorder is just the market saying so out loud. (Or M5 Minis coming @Apple? 👀) #LocalLLM #AgenticAI

New in Claude Code: /ultraplan Claude builds an implementation plan for you on the web. You can read it and edit it, then run the plan on the web or back in your terminal. Available now in preview for all users with CC on the web enabled.










Try using the X API

🚨 BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub. It's called Graphify. One command. Any folder. Full knowledge graph. Point it at any folder. Run /graphify inside Claude Code. Walk away. Here is what comes out the other side: -> A navigable knowledge graph of everything in that folder -> An Obsidian vault with backlinked articles -> A wiki that starts at index. md and maps every concept cluster -> Plain English Q&A over your entire codebase or research folder You can ask it things like: "What calls this function?" "What connects these two concepts?" "What are the most important nodes in this project?" No vector database. No setup. No config files. The token efficiency number is what got me: 71.5x fewer tokens per query compared to reading raw files. That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases. What it supports: -> Code in 13 programming languages -> PDFs -> Images via Claude Vision -> Markdown files Install in one line: pip install graphify && graphify install Then type /graphify in Claude Code and point it at anything. Karpathy asked. Someone delivered in 48 hours. That is the pace of 2026. Open Source. Free.