How Fly.io Uses Claude
11 engineering articles about Claude from Fly.io's engineering team
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Sprites are a place to run agents; the first thing you should think to do with a new Sprite is to type claude (or gemini or codex). We’ve put a lot of effort into making sure coding agents feel safe and happy when they’re on Sprites, because, to (pro
Kurt Mackey
6 min read
Includes Code
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This article explains the design and implementation of Sprites, Fly. io's new product offering instant-creation Linux VMs with 100GB durable storage backed by object storage.
Fly. io introduces 'Sprites' — durable, persistent cloud computers designed as an alternative to ephemeral sandboxes for AI coding agents.
Thomas Ptacek argues that every developer should build an LLM agent to truly understand the technology, demonstrating through progressive Python code examples that a functional agent with tool use ...
The article discusses the limitations of model agnosticism in AI projects, emphasizing that understanding and specializing in a specific model is more beneficial than trying to maintain flexibility...
Daniel Botha
5 min read
Has Summary
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MCP servers, part of the Model Context Protocol, provide a standardized way to connect AI models to various data sources and tools, akin to a USB-C port for AI applications.
Sam Ruby
7 min read
Has Summary
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The article discusses the skepticism surrounding AI-assisted programming, particularly focusing on the capabilities of Large Language Models (LLMs) in software development.
The article discusses the launch of Model Context Protocol (MCP) servers on Fly. io, highlighting their utility, configuration, and security considerations.
The article discusses the use of Model Context Protocols (MCPs) for provisioning machines, highlighting their integration with tools for managing resources in applications.
The article discusses the implementation of a basic Model Context Protocol (MCP) server for the flyctl command-line tool, highlighting its utility in connecting large language models (LLMs) to vari...
Kurt Mackey
5 min read
Includes Code
Has Summary
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The article discusses the challenges and realizations Fly. io faced while integrating GPU support into their cloud services.
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