Keep up with tech in 5 minutes

Get the free daily email with summaries of the most interesting stories in startups 🚀, tech 📱, and programming 💻!

Join 8,000,000+ readers from companies like Anthropic, OpenAI, and more for one daily email
Not every problem needs an AI agent (5 minute read)

Not every problem needs an AI agent (5 minute read)

Production AI systems work best when each component earns its complexity. Recommenders, moderation, warehouse queries, and search cold starts need different mixes of deterministic logic, classic ML, semantic layers, and LLMs. The strongest pattern is often hybrid: use agents for reasoning, but keep business logic, metrics, routing, and guardrails deterministic where possible.
I Tried to Build a Context Layer for My Agent in a Weekend. Reader, I Did Not Build a Context Layer for My Agent in a Weekend.
Jun 12 | Blog

I Tried to Build a Context Layer for My Agent in a Weekend. Reader, I Did Not Build a Context Layer for My Agent in a Weekend.

A "simple" weekend project turns into real infrastructure, and why agent context deserves a boring, reliable foundation.

Sponsored
The New MCP Roadmap (8 minute read)
Aug 24 | Tech

The New MCP Roadmap (8 minute read)

The updated roadmap for the Model Context Protocol (MCP) sets the direction for protocol work over the coming months. It is organized into five priority areas: agentic messaging primitives, HTTP-native transport unification and hardening, agent identity and enterprise-ready security, improved primitives, and improved SDK developer experience. Specification Enhancement Proposals that fall within these priority areas get expedited review and have the best chance of acceptance.
Anthropic will give defenders what its strongest model finds, but not the model itself (3 minute read)
Aug 24 | AI

Anthropic will give defenders what its strongest model finds, but not the model itself (3 minute read)

Claude Mythos 5 has been made available for code scanning in Claude Security. Anthropic is working on further integrating the model into partners' defensive projects. Anthropic is widening access to the model without letting most people prompt it. Users of partner tools receive suggested patches or an alert, but have no way to prompt the model to write an exploit.
AI agents are turning enterprise data silos into an infrastructure problem (5 minute read)
Aug 24 | It

AI agents are turning enterprise data silos into an infrastructure problem (5 minute read)

Enterprise data stacks were largely designed around human access patterns, but agents need reliable real-time access across systems. That is turning data integration and context infrastructure into a prerequisite for successful agent deployments.

More Stories