Technical deep-dives, AI strategy, and engineering perspectives from the team building autonomous systems.
Mixture of Experts models like Llama 4 Scout 17B activate a fraction of their total parameters per token, delivering frontier performance at a fraction of the compute cost. Here's what we've learned deploying MoE architectures in production.
Perplexity's new computer use feature controls your GUI. Claude Code works inside your codebase. These are fundamentally different approaches to AI-assisted development — and the difference matters more than most people think.
AI coding agents changed how we write software. Our terminal setup didn't keep up. So we built a desktop app around the way we actually work now.
OpenAstra is a self hosted agent runtime engineered for production agentic systems. Here's what it solves and how it works.
OpenClaw got everyone excited about AI agents. But the ecosystem it created, community MCP servers, third party plugins, unaudited code running on your own services, is a different conversation.
How agentic AI is transforming ERP from a system of record into a system of action and what that means for operations teams.
How to architect agent swarms that coordinate without chaos.
The observability stack every production AI system needs and why it matters more than the AI itself.
From intelligent search to autonomous merchandising: practical integration patterns.
What vector databases actually do, when you need one, and how to choose between Pinecone, pgvector, and Weaviate.
What your commerce infrastructure needs to look like when agents, not humans, are making operational decisions.
A practical framework for identifying where AI creates the most leverage in your operations, before you write a single line of code.