Graph engineering for agents: what a prompt chain forgets
Graph engineering models an agent system as nodes and edges, not a prompt chain. Here is the idea, five patterns, and how my open-source Yaaf uses it.
Notes from a CTO who has to put agents into production. Every post says what I ran, what it cost, and whether I'd use it.
Graph engineering models an agent system as nodes and edges, not a prompt chain. Here is the idea, five patterns, and how my open-source Yaaf uses it.
I measured the MCP context cost of 22 server setups. One eBay server takes 40.6% of a 200k window if your client loads every tool. Here is what to keep.
I ran Survival LLM's library search with no model on its 22 questions: an on-topic title by the author's pattern for 21, every key fact for only 9.
AI coding agents need more than a manager: coordination, isolation, verification and limited autonomy. Real PRs, real costs, and a 33-line loop to run.
Claude Code has more settings than most of us ever touch. Here are the ones that change a working day, with the catch sitting next to each one.
Mistral Large 4 license read for a five-person startup: can you ship it, can you host the 1,061 GB weights, and is the API cheaper? My maths inside.
A PyTorch upgrade checklist for 2.15: Python 3.10 and old NVIDIA GPUs lose their wheels, and macOS 14 loses MPS. What I checked and what to pin.
MCP skills ship in the official TypeScript SDK 2.4. I ran them, and a hostile server's prompt injection still came back verified: true. Here is why.
Kimi K3.1 Pro: 3T-class, weights promised for Nov 4, not shipped. Price, hardware maths, reactions, and Anthropic SDK code that follows Moonshot's docs.