{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/65d52481498c2900162b091c/67f8818b873e11ab416cbadc?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Why Everyone Needs to Learn to Code (Even Just a Bit)","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/65d52481498c2900162b091c/1744339352918-53edd537-6db1-4ea5-a150-cae687a19927.jpeg?height=200","description":"<p>In this episode of the Technocracy Podcast, Ajay Prakash and Loong Wang are joined by Kerman Kohli to explore the gritty realities of building with AI. From vibe coding disasters to data engineering struggles, they dive into what it really takes to be a modern AI engineer.</p><p><br></p><p>Kerman shares his journey building a personal AI scheduling assistant—from breaking Google Calendar’s API to creating his own time-slot library and natural language date parser. This episode unpacks why building real AI tools isn’t as glamorous as it looks.</p><p><br></p><p>They also discuss:</p><p>- Why everyone might need to learn coding</p><p>- The myth of AI replacing SaaS</p><p>- How commoditized outputs unlock creativity</p><p>- The rise of personal software</p><p>-The unglamorous truth behind APIs, dates, and infrastructure</p><p>- Why most AI demos break in the real world</p><p>- And how the future belongs to those who know how to think, not just code.</p><p>Whether you're a founder, engineer, or AI enthusiast—this one’s packed with brutally honest takes, practical advice, and future-forward insights.</p><p><br></p><p><br></p><p>Check out Ajay’s Stuff:</p><p>EntryLevel: https://entrylevel.net</p><p>Website: https://ajays.quest</p><p><br></p><p>Check out Loong’s Stuff:</p><p>QDX: https://www.qdx.co/ </p><p>Automera: https://automeratx.com/</p><p><br></p><p><br></p><p>00:00 Introduction to AI and Coding</p><p>00:49 Exploring Image AI and Its Impact</p><p>02:11 The Evolution of Copywriting with AI</p><p>03:49 The Future of AI-Generated Content</p><p>04:41 Building Generative 3D Worlds</p><p>05:44 Personal AI Tutors and Skill Development</p><p>06:36 The Importance of Systematic Thinking in AI</p><p>11:20 Challenges in Data Engineering with AI</p><p>17:44 Developing Personal Software Solutions</p><p>20:11 The Journey of Building an AI-Powered Calendar App</p><p>31:10 The Value of Becoming a Software Engineer</p><p>32:02 Critical Thinking in Software Engineering</p><p>32:41 Building and Expressing Ideas Through Code</p><p>34:19 Navigating AI and Software Development</p><p>35:04 Creating Tools for AI Integration</p><p>39:19 Challenges in Date and Time Programming</p><p>45:03 The Future of AI and Software Development</p><p>52:18 Final Thoughts on AI and Personal Growth</p>","author_name":"Ajay Prakash and Loong Wang"}