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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 DescriptionRyan 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 DiscussedBuilding applications using Claude 3.5 Sonnet through Cline (VS Code extension)Managing AI context and token limits in developmentTesting and validation strategiesFrontend vs backend development experiences with AITroubleshooting techniques when working with AITools & Technologies MentionedClaude 3.5 SonnetCline (VS Code extension)OpenRouterOllamaDeepSeek CoderLangChainLlamaIndexAnsibleRedisKey PointsBreak down development into focused tasks rather than trying to handle everything at onceMaintain proper documentation and context files in directoriesValidate and test at each step rather than waiting until the endUse Git for granular version control of AI-generated codeNotable 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."ResourcesCline VS Code Extension: https://github.com/cline/clineClaude AI: https://claude.aiClaude AI Computer Use: https://www.anthropic.com/news/3-5-models-and-computer-useOpenRouter: https://openrouter.aiEpisode CreditsHost: Kirk ByersGuest: Ryan BoothRecorded December 3, 2024