More FreeCodeCamp Podcast episodes
Published 23 Jan 2026
Duration: 01:04:20
A podcast discussion on software development and learning strategies covers updates on coding topics, the effects of short-form content and AI on deep learning, and the importance of community-driven learning and perseverance.
Today Quincy Larson interviews Sumit Saha, a software engineer and prolific teacher on YouTube. Sumit is based in Dhaka, Bangladesh, where he runs a d...
The podcast discusses various topics related to software development, learning strategies, and community involvement. It covers recent updates from Free Code Camp, such as a documentary on the CalHacks hackathon and new educational content focused on Kubernetes, GPU selection, and model benchmarking. An interview with Shumit Shah is featured, in which he addresses the decline of deep learning due to the rise of short-form content and AI's role in promoting quick, surface-level learning. He stresses the importance of mastering fundamentals, long-term commitment, and consuming quality information to succeed in programming.
The episode also explains technical concepts like JavaScript closures, Node.js worker threads, and JWT authentication through relatable analogies. It addresses the difficulties of learning in a fast-paced digital environment and highlights the value of long-form education and community-driven learning. Furthermore, it touches on the future of developer education, ethical concerns surrounding AI, and the significance of perseverance and honest learning for long-term career growth.
17 Apr 2026 How to friction-max your learning with software engineer Jessica Rose
The text warns against the overabundance of web development frameworks and AI reliance, stressing foundational skills, critical thinking, ethical data practices, and intentional, community-driven learning over hype and complexity.
10 Apr 2026 How to learn programming and CS in the AI hype era interview with dev and prof Mark Mahoney
Large Language Models (LLMs) can aid in programming education for basic tasks and guidance but are unreliable for complex development, with experts advocating hands-on practice, critical analysis, and traditional methods to build foundational skills, while emphasizing LLMs as supplementary tools rather than replacements for human mentorship and experiential learning.
3 Apr 2026 Lessons from 15,031 hours of coding live on Twitch with Chris Griffing
Development practices, critiques of server-side rendering overuse, polyglot programming, simplicity in frameworks, career shifts from snowboarding to tech, education through community college, streaming for growth, and cautious use of LLMs in favor of human expertise and adaptability in evolving tech.
27 Mar 2026 What happens when the model CAN'T fix it? Interview with software engineer Landon Gray
AI engineering integrates large language models with infrastructure via "harnesses" to enhance output quality, prioritizes practical application over model retraining, and emphasizes continuous learning, ethical alignment, and balancing technical skills with collaboration and strategic thinking in a rapidly evolving tech landscape.
20 Mar 2026 The world still needs people who care - CodePen founder Chris Coyier interview
Technical education resources on CI/CD, LLM fine-tuning, and Flutter, alongside enduring front-end skills in AI-driven tech, web advancements, career challenges, AI limitations, CodePen's evolution, creator economy shifts, and the balance between innovation and foundational knowledge.