Daily Digest - 2026-10-03
How Uber scaled the Model Context Protocol across eight hundred internal servers and five thousand tools using a centralized gateway, automated IDL crawlers, and runtime discovery.
Reading Notes
Links, short summaries, and notes on what is worth noticing across AI, operations, strategy, and company-building.
How Uber scaled the Model Context Protocol across eight hundred internal servers and five thousand tools using a centralized gateway, automated IDL crawlers, and runtime discovery.
See how software companies embed engineers directly with enterprise customers to remove technical blockers and uncover product opportunities. Forward deployed engineers bridge the gap between AI systems and legacy enterprise software by embedding with clients to write production code.
How Comma uses agent-written eBPF programs and low-cost decision models to replace continuous polling with lightweight event filtering. Standard agent loops waste tokens when polling event streams during quiet hours.
Review OpenAI's DevDay announcements, covering persistent cloud agents, lower-cost frontier models, and dedicated classification tools.
Databricks tested frontier models across 2,400 internal engineers, showing how Opus 5. 5 and GPT-6 Luna change the cost and performance baseline for daily software work.
Ben Thompson explains how dedicated virtual machines let personal AI agents generate disposable interfaces on demand, making static software interfaces obsolete. Meta's release of Muse gives every user a personal virtual machine built specifically for an autonomous agent to run.
A concrete breakdown of the capital costs, payback math, and hardware utilization rates needed for an early-stage AI research lab to survive.