Rust

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

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.

Large clusters for small models — Daniel Svonava, Superlinked

Large clusters for small models — Daniel Svonava, Superlinked

Daniel Svonava argues that small open-source models, when specialized and properly served, can achieve frontier performance for specific tasks, offering significant cost savings and latency improvements over large, generalized models or managed endpoints. He highlights challenges with existing serving infrastructure for a fleet of diverse small models and introduces Superlinked's open-source solution, which leverages a pull-based, centralized queuing system, a Rust sidecar for runtime abstraction, and an autoresearch loop for automated model tuning, enabling high throughput (e.g., half a million embedding tokens/sec on one GPU) and efficient deployment of specialized models and LoRAs.

Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognition

Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognition

Jonathan Kelley, founder of Dioxus Labs, shares insights from building a cross-platform Rust app framework for five years. He details Dioxus's evolution, its core technologies like Blitz and Subsecond, and the transformative impact of AI coding agents. Kelley explains how AI excels at handling Rust's complexity, automating mundane tasks, and serving as patient specialists for knowledge-intensive problems, yet falls short in writing effective tests. He concludes that while AI makes code cheap, quality remains paramount, shifting the engineer's focus to architecture and strategic system design.

Codex, Behind the Harness — Dominik Kundel, OpenAI

Codex, Behind the Harness — Dominik Kundel, OpenAI

Once GPT 5.3 Codex Spark achieved 1000 tokens/sec on Cerebras, network latency superseded inference as the bottleneck for agents. This talk details how the Codex harness addresses this and other agentic challenges through innovations like WebSocket mode for stateful context, deferred tools for efficient context construction, robust sandboxing (Seatbelt, Bubblewrap, custom Windows solution), and an auto-review subagent to mitigate approval fatigue while ensuring security. It also covers structured actions via 'apply patch' for file edits, shell tools for system interaction, and sophisticated long-horizon goal management, with most distinct features exposed through the open Responses API.

Boris Cherny: Building Claude Code

Boris Cherny: Building Claude Code

Boris Cherny, creator of Claude Code, discusses the transformative capabilities of Opus 5, highlighting its prompt injection resistance and long-task execution. He delves into Claude Code's empirical development philosophy of "unhobbling" AI by constantly adapting to new model generations, and shares insights on how to build advanced AI products using higher-level tasks, self-verification, and dynamic workflows to orchestrate thousands of agents.

WebAssembly on Kubernetes • Nicolas Frankel • YOW! 2025

WebAssembly on Kubernetes • Nicolas Frankel • YOW! 2025

Nicolas Fränkel explores the evolution of WebAssembly (Wasm) beyond its web origins, showcasing its potential to revolutionize application deployment on Kubernetes. The talk demonstrates how Wasm enables incredibly small container sizes (down to 2MB for an HTTP server) by integrating specific Wasm runtimes with Kubernetes' extensible architecture. However, Fränkel also provides a candid assessment of the ecosystem's rapid, often unstable, development, recommending Wasm on Kubernetes for agile startups seeking competitive advantage but cautioning traditional enterprises due to the inherent risks and maintenance challenges.