A product discussed on AI Engineer.

Claws Out: Securing and Building with OpenClaw - Nick Taylor, Pomerium
Jul 11, 2026 · 17:12
Nick Taylor, a dev advocate at Pomerium, explains how he contributed trusted-proxy auth mode to OpenClaw, allowing a trusted identity-aware proxy to handle WebSocket authentication and removing the need for tokens and device pairing. He demonstrates building tools like Clawspace, a browser-based file explorer and editor for his OpenClaw workspace, and an MCP server for ChatGPT, all secured with Pomerium's open-core Identity-Aware Proxy. In a live demo, he creates an MCP server by editing files in his OpenClaw workspace via Discord, with changes reflected instantly through Vite hot reload. Taylor argues that hardening OpenClaw access with a trusted proxy improves both security and user experience, showcasing his workflow of building software entirely from his phone.

Introducing WebMCP: Agents in the Browser — RL Nabors
May 23, 2026 · 23:08
Rachel Nabors, former web standards contributor and now Principal Developer Experience Engineer at Arise, argues that chat-only agent interfaces (the 'starfish' design) are the CLI of the future and demonstrates how to replace them with rich interactive surfaces using MCP Apps and WebMCP. She explains STDIO vs HTTP transports, shows how MCP Apps bundle HTML, CSS, and JavaScript into single files rendered in agent iframes, and introduces WebMCP, which adds tool attributes to existing page elements so browser agents can call functions without screenshot parsing or DOM traversal. Using her own web comic site as a case study, she builds a comic reader with full panel navigation, transcript mode, and speech synthesis via the Web Speech API, and advocates for better client support of MCP resources to avoid inefficient tool calls for context loading.

Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison
Aug 3, 2025 · 1:19:33
Harald Kirschner demonstrates three stages of Vibe Coding with GitHub Copilot and VS Code—YOLO, Structured, and Spectrum—arguing that developers can move from rapid prototyping to maintainable, scalable AI-assisted development. He shows how to use Agent mode, auto-approve settings, and new workspace scaffolding to build a hydration tracking app with React Vite and Material Design without looking at code. The talk covers custom instructions, MCP servers (Playwright, Jest Pad, Perplexity), and custom modes like TDD that enforce test-driven development by writing failing tests first. Kirschner explains how to constrain tools for deterministic behavior using tool sets and recommends committing often, pausing AI when needed, and iterating on instructions. He also discusses spec-driven development, critiquing specs with AI, and the importance of well-structured codebases for AI productivity.

[Full Workshop] Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments
Jun 27, 2025 · 1:20:38
Harold from the VS Code team demonstrates "Vibe Coding at Scale" at the AI Engineer World's Fair, presenting three stages—YOLO, structured, and spectrum vibes—for customizing AI assistants in enterprise environments. He live-codes a hydration tracking app using GitHub Copilot's agent mode, auto-approve, and new workspace scaffolding, then shows how to enforce design principles via Copilot instructions and reusable prompts. Harold introduces custom modes (e.g., TDD mode), tool sets, and MCP servers like Playwright and Perplexity for research and browser testing. He emphasizes iterating on instructions, committing often, and using spec-driven development to balance speed with reliability, arguing these techniques enable true flow-state collaboration even on complex codebases.

Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments - Harald Kirshner,
Jun 27, 2025 · 15:26
Harald Kirshner, a Principal Product Manager at Microsoft working on VS Code and GitHub Copilot, argues that 'vibe coding' must evolve from ad-hoc experimentation to structured, spec-driven approaches for enterprise environments. He breaks vibe coding into three stages: YOLO (rapid prototyping with auto-accept and voice dictation), structured (using templates, custom instructions, and tools like MCP for consistency), and spec-driven (iterating from a plan for scale and reliability). Kirshner demonstrates VS Code Insiders' agent mode, new workspace flow, and auto-approve features, emphasizing that developers should commit often, review agent pauses, and leverage workspace instructions to maintain quality. He advocates for standardizing AI usage through team-defined prompts and modes, preserving developer autonomy while ensuring maintainable code even in complex, polyglot codebases.
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