What happens when the model CAN'T fix it? Interview with software engineer Landon Gray [Podcast #213]
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Quincy Larson interviews Landon Gray, a software engineer who transitioned from agency work to AI-assisted development and now helps other developers do the same. Topics include how LLMs serve as raw fuel while harnesses drive real productivity, the value of professional networking for career growth, and why Landon ported Python ML libraries to Ruby — arguing that Ruby is better-positioned than ever now that AI is just an API call away. The episode also highlights new freeCodeCamp courses on frontend development, software testing with Playwright, LLM observability, and containerizing MLOps pipelines.
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