More FreeCodeCamp Podcast episodes
Published 29 Jan 2026
Duration: 01:19:12
Recent educational resources are discussed, including new courses on AI-related topics, as well as the evolving role of software engineers and challenges in rapid development.
Today Quincy Larson interviews Tapas Adhikari. He's a software engineer who runs a firm of 20 developers who build projects for companies around the w...
The podcast covers new educational resources from Free Code Camp, including courses on Python data structures, retrieval augmented generation (RAG), a JavaScript execution context handbook, and a game development tutorial in Unreal Engine 5. These materials aim to support learners in mastering both traditional programming concepts and emerging technologies. The discussion also addresses the changing landscape of software engineering, with a focus on role convergence, the impact of AI and large language models (LLMs) on faster development cycles, and evolving client demands for speed and efficiency.
The conversation highlights challenges in maintaining quality while accelerating development, the need for a strong foundation to effectively use AI tools, and the value of mentorship and community involvement in professional growth. Additionally, the interview delves into the speakers personal experiences in Indias tech industry and the establishment of their company, Creovice, underscoring the significance of personal and professional networks, community-driven learning, and open source contributions in skill development and career progression.
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.