Dedicated to the memory of Nick Russo. Your star was bright my friend and I wish we had more time together.
A conversation with Ryan Booth, Engineering Manager at Juniper on AI development practices and related development tools.
Episode Description
Ryan Booth discusses his recent experiment building a complete application using AI assistance without writing code directly. He shares insights on managing AI development workflows, context management, testing practices, and practical tips for network engineers working with AI tools.
Key Topics Discussed
- Building applications using Claude 3.5 Sonnet through Cline (VS Code extension)
- Managing AI context and token limits in development
- Testing and validation strategies
- Frontend vs backend development experiences with AI
- Troubleshooting techniques when working with AI
Tools & Technologies Mentioned
- Claude 3.5 Sonnet
- Cline (VS Code extension)
- OpenRouter
- Ollama
- DeepSeek Coder
- LangChain
- LlamaIndex
- Ansible
- Redis
Key Points
- Break down development into focused tasks rather than trying to handle everything at once
- Maintain proper documentation and context files in directories
- Validate and test at each step rather than waiting until the end
- Use Git for granular version control of AI-generated code
Notable Quotes
- "I learned very early on when getting into the coding stuff that you can't overload it with information. You really have to kind of start just like you would a normal project. You have to build from the foundation up."
- "It's network automation is managing software at the end of the day. You're writing code that you have to rely on, that you have to test, that you have to validate."
Resources
Cline VS Code Extension: https://github.com/cline/cline
Claude AI: https://claude.ai
Claude AI Computer Use: https://www.anthropic.com/news/3-5-models-and-computer-use
OpenRouter: https://openrouter.ai
Episode Credits
Host: Kirk Byers
Guest: Ryan Booth
Recorded December 3, 2024
