44:I[58016,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/5e17b2e37c80a96c.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/53f751967ccc7d59.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/00da439d4db502cc.js","/_next/static/chunks/88bed98e5cd5e639.js"],"ProcessEpisodeButton"] 47:I[45269,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/5e17b2e37c80a96c.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/53f751967ccc7d59.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/00da439d4db502cc.js","/_next/static/chunks/88bed98e5cd5e639.js"],"SignupCTA"] 49:I[56939,["/_next/static/chunks/b5ea50e123aa84a6.js","/_next/static/chunks/5e17b2e37c80a96c.js","/_next/static/chunks/de880ec5a0241b38.js","/_next/static/chunks/48003610e91209eb.js","/_next/static/chunks/15a1b1fbd3cf7d4a.js","/_next/static/chunks/81ce7bf5f20dbd5a.js","/_next/static/chunks/53f751967ccc7d59.js","/_next/static/chunks/903c358828afe0bc.js","/_next/static/chunks/00da439d4db502cc.js","/_next/static/chunks/88bed98e5cd5e639.js"],"EpisodeTranscript"] 3c:["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","strokeWidth":2,"d":"M8 7V3m8 4V3m-9 8h10M5 21h14a2 2 0 002-2V7a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z"}] 3d:["$","time",null,{"dateTime":"2024-08-21T01:02:51.000Z","children":"Wed Aug 21 2024"}] 3e:["$","p",null,{"className":"text-base text-foreground/80 leading-relaxed","children":"In this episode, AI experts Bradley Arsenault and Justin Macon dive deep into the challenges and best practices for safely executing code generated by large language models in a production environment. They discuss key security considerations, containe..."}] 45:T521,

In this episode, AI experts Bradley Arsenault and Justin Macon dive deep into the challenges and best practices for safely executing code generated by large language models in a production environment. They discuss key security considerations, containerization techniques, static/dynamic code analysis, and error handling - providing valuable insights for anyone looking to leverage the power of LLMs while mitigating the risks of abuse by AI hackers.

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Safely Executing LLM Code