Model context protocol

Oct 12, 2026

The Next Trillion Internet Users Still Don’t Have an Identity — Adi Singh, AgentMail

Adi Singh, co-founder of AgentMail, argues that agent identity will accumulate on surfaces humans already use, like email, rather than being issued through a new spec. He draws on an experiment where an unsupervised agent recruited other agents, the way MCP spread by bringing tools into existing apps, and a real autonomous signup flow with Telnyx. He also examines why these surfaces are both a trust layer and an attack surface.

Oct 11, 2026

SonarQube + OpenAI: Agentic Development — Killian Carlsen-Phelan, Sonar

A hands-on look at pairing Codex with SonarQube to verify agent-generated code inside the coding loop. The walkthrough covers secrets blocking, SQL injection remediation with a parameterized query, real-time agentic analysis, and the argument that completion requires evidence, containment is not correctness, and feedback belongs inside the agent loop.

Oct 11, 2026

Building AI Agents with Real-Time Web Data — Yohan Raju, Bright Data

Yohan Raju of Bright Data shows how an AI agent can combine a live Amazon listing with Reddit sentiment to produce a purchase recommendation, arguing that agents need fresh, structured web data rather than relying only on pre-trained knowledge or pre-indexed retrieval.

Oct 10, 2026

Zero Cold Starts: Serverless AI Agents on Akamai Functions — Thorsten Hans

Thorsten Hans shows how to build MCP servers and AI agents with Spin, the open-source WebAssembly framework, and run them on Akamai Functions, a globally distributed serverless platform with no cold starts. The talk explains why WebAssembly suits edge-native AI workloads, live-codes MCP servers with wasmcp in TypeScript and Rust, deploys them worldwide with one command, and closes with a Vercel AI SDK agent backed by a Linode GPU model and memory snapshots that keep apps warm.

Oct 09, 2026

Why Your Company Needs a Context Graph (and How to Build It) — Gil Feig, Merge

Gil Feig, co-founder and CTO of Merge, explains why agents need a company-wide context graph rather than a few MCP connections. Using the question of which customers were upset last week, he shows why live API lookups fail across large datasets and why synced local copies, routing, summarization, skills, memory, and traceable provenance are needed to build a reliable company brain.

Oct 09, 2026

How MasterClass Builds Multi-Agent AI That Learners Can Trust

MasterClass engineers Mandar and Priya explain how they built NCX, a multi-agent AI tutoring system, and the CoreWeave-based tracing, MCP server, and AgentOps loop that keeps it reliable and self-improving in production.