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😬 Vibes, Velocity, and Vulnerabilities: Vibe Coding Analysis

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Manage episode 499261369 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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"Vibe coding" is a rapidly evolving, AI-assisted software development practice where natural language prompts guide a Large Language Model (LLM) to generate, refine, and debug code. Coined by Andrej Karpathy in February 2025, it embodies an intuitive, conversational, and almost symbiotic relationship with an AI coding partner. While it significantly democratizes development and accelerates prototyping, it introduces substantial risks, including low code quality, severe security vulnerabilities, and significant technical and "epistemic" debt. The industry is currently grappling with how to harness its benefits for rapid innovation while establishing disciplined guardrails to mitigate its inherent dangers. The future role of software engineers is shifting from direct code authorship to higher-level architecture, auditing, and complex problem-solving.

  continue reading

191 episodes

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Manage episode 499261369 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

"Vibe coding" is a rapidly evolving, AI-assisted software development practice where natural language prompts guide a Large Language Model (LLM) to generate, refine, and debug code. Coined by Andrej Karpathy in February 2025, it embodies an intuitive, conversational, and almost symbiotic relationship with an AI coding partner. While it significantly democratizes development and accelerates prototyping, it introduces substantial risks, including low code quality, severe security vulnerabilities, and significant technical and "epistemic" debt. The industry is currently grappling with how to harness its benefits for rapid innovation while establishing disciplined guardrails to mitigate its inherent dangers. The future role of software engineers is shifting from direct code authorship to higher-level architecture, auditing, and complex problem-solving.

  continue reading

191 episodes

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