Prefect

Generative UI... in Python? — Jeremiah Lowin, Prefect

Sep 10, 2026 · 17:38

Jeremiah Lowin, founder and CEO of Prefect and author of FastMCP, explains how MCP apps — a protocol extension introduced in January that lets tool results bypass the agent and reach users as HTML, CSS, and JavaScript — led him to build Prefab, a Python DSL for shipping UIs from MCP servers. Because FastMCP's users are mostly Python engineers in enterprises sharing tables, forms, and charts, he refused to pretend to ship React from Python and instead scoped the problem to composing pre-built components via nested context managers and reactive variables. Lowin argues the JSON serialization in the middle is the real point, since a serializable UI can be generated, received, or edited by an agent. His team also found the Python representation is about 70% smaller than JSON, so they now stream Python over the wire and convert it in a sandbox, and the Prefab docs are rendered entirely in Prefab with live-editable examples.

Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect

Jan 12, 2026 · 54:33

Jeremiah Lowin, CEO of Prefect and creator of FastMCP, argues that most MCP servers are poorly designed because they are simply REST API wrappers, leading to confused LLMs and wasted tokens. He presents a framework for agent-native product design based on three dimensions—discovery, iteration, and context—and offers five actionable principles: outcomes over operations, flatten arguments, treat instructions as context, respect the token budget, and curate ruthlessly. Lowin emphasizes that agents fail when given too many tools or complex arguments, citing a hard limit of 50 tools per agent for reliable performance. He shares real-world examples, including a company with 800 endpoints that could not be effectively exposed, and critiques client implementations like Claude Desktop for not respecting spec-compliant features. The central takeaway: MCP servers should be designed as user interfaces for agents, not as developer APIs.

The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex

Nov 7, 2023 · 35:16

Chris White (CTO of Prefect) and Bryan Bischof (Head of AI at Hex) detail how their non-AI startups successfully pivoted to integrate AI, arguing that ruthless prioritization and deep product integration are key. White explains Prefect built the open-source Marvin project to learn from LLM experimenters, while adding AI features like error summaries to its core orchestration product, but had to restrain over-enthusiasm from engineers. Bischof describes Hex's Magic feature as an augmentation, not a separate product, and explains they built their own evaluation system but chose not to build a vector database, and killed a promising feature called Crystal Ball to avoid splitting the product experience. They both emphasize machine-to-machine interfaces and typed outputs, and caution that the work is often tedious data engineering. Their hot takes: White says stop building chat interfaces, AI is a tool; Bischof warns that the journey is boring but worth it.