Oct 11, 2026

An AI Future Without the Lock-In — Remy Guercio, Tailscale

Remy Guercio of Tailscale argues that the era of unlimited AI budgets is over and that teams need to escape lock-in while proving real ROI. He breaks an internal AI deployment into four layers (models, data connectors, interfaces, and sandboxes) and presents an AI gateway as the way to keep each layer swappable. He demonstrates how Tailscale's Aperture uses tailnet identity instead of shared API keys, sets per-model budgets, serves as both an LLM and MCP gateway, centralizes authentication for coding agents, and provides logs for diagnosing agent behavior.

Oct 10, 2026

How MiniMax M3 Was Built: Sparse Attention and Native Multimodality — Olive Song

Olive from MiniMax walks through MiniMax M3, an open-weight model built for agentic coding, 1M token context, and native multimodality from the first training step. The talk centers on MSA, a GQA-aware block-level sparse attention design co-developed with GPU infrastructure in mind, and on why training text and vision together from scratch beats adding vision later.

Oct 10, 2026

AI Agents Don't Read Your Policy Docs. They Hit Your APIs — Gravitee

Sam, CTO at Gravity, argues that AI agent governance must be enforced in infrastructure rather than in prompts or policy documents. Through five live demos against a hotel-booking agent, he shows a gateway blocking destructive tool calls, preventing data exfiltration, rate-limiting runaway agents, serving cached semantic responses, and rejecting oversized prompts before any LLM call. He also covers observability, vendor decoupling via LLM routing, trimming bloated MCP tool lists, and managing shadow AI.

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 10, 2026

From Your Laptop to the Pipeline: Scaling Custom Agents with GitHub Copilot

Jose Palafox, a GitHub Field Copilot Specialist, walks through taking a Copilot agent from a single laptop to an organization-wide, pipeline-hosted system. Topics include how the Copilot harness and CLI work, building custom agents with the agent builder, sharing them through marketplaces, orchestrating cross-repository changes, and running headless agents in GitHub Actions through GitHub Agentic Workflows, with a focus on observability and cost control.

Oct 10, 2026

The Lethal Trifecta Is Already on Your Laptops — Michael Patterson, Coder

Michael Patterson of Coder explains Simon Willison's lethal trifecta: private data access, exposure to untrusted content, and external communication, and why coding agents running on developer laptops hit all three. He covers prompt injection, the organizational blockers to enterprise agent rollout such as shadow AI and alert fatigue, and three architectural guardrails: cloud development environments, a model proxy, and an agent firewall.