Reading Notes
Links, short summaries, and notes on what is worth noticing across AI, operations, strategy, and company-building.
Shows how Coinbase redesigned its workflows around AI agents instead of bolting them onto human processes. Coinbase engineers paused coding for two weeks to redesign their development cycles around agents.
A look at SpaceXAI's new model and Grok Bot, which pushes AI from chatbot to autonomous coworker. SpaceXAI released Grok 4.
Vercel's AI Gateway data shows shifts in inference market share and enterprise spending. In July 2026, average token prices dropped 13.6% as demand for cheaper open-weight models grew.
Learn to set up an automated PR reviewer that scores risk and auto-approves safe code without human input. Engineering teams are finding that letting AI review AI-generated code is faster and less risky than manual checks.
How Anthropic shifted from benchmarking models to shipping consumer products, and what that means for AI product management. AI product management demands treating token-level evaluations like pixel-level UI design.
How AI service businesses should treat advancing models as market expanders rather than threats. New model releases threaten to commoditize orchestration and retrieval for AI service businesses.
Explains why production agents need managed infrastructure. LangChain’s Managed Deep Agents mark a move from experimental agent loops to enterprise deployment.
Four top researchers leaving Google DeepMind marks a major shift and the start of a new "autoresearch" venture. Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le left DeepMind on good terms to start Discovery Loop, an autoresearch company.