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Tune in to Episode 140 of the AIAW Podcast! This week, we sit down with Anton Osika, co-founder of Lovable and a key figure in Stockholm’s AI scene, to discuss the future of AI-powered software engineering. Anton shares his path in AI, his journey to founding Lovable, and his work on projects like GPT Engineer, an AI tool that helps developers build software systems alongside human engineers. We explore the challenges and breakthroughs in creating reliable code-generation tools, the changing role of coding skills in an AI-driven world, and the balance between automation and human expertise. Anton also offers valuable advice for startups and companies working with LLMs (Large Language Models) in software development and shares his vision for the next generation of developers. 00:00:00 Intro 00:10:00 Who is Anton Osika? | Background and Experience of a GPT Engineer 00:22:00 Inspiration Behind Lovable: What Led to the Creation of a GPT Engineering Company? 00:30:00 Raising Venture Capital: Strategies for Securing Funding for Startups 00:38:00 How GPT Engineer Works: Collaboration Between AI and Humans in Software Development 00:54:00 Effective Prompting Techniques: Building Code with GPT Models 00:59:00 Challenges in Developing GPT Engineer: Ensuring Reliability and Accuracy in Code Generation 01:03:00 From Agile to Pirate Software Engineering: Innovative Approaches to Development 01:06:00 Open Weight vs. Closed Source LLMs: Understanding the Debate in AI Models 01:20:00 Impact of Agentic Systems on Lovable: Future Implications for AI Development 01:36:00 Business Model of Lovable: How GPT Engineer Generates Value 01:44:00 Best Application Examples: Real-World Uses of GPT Engineering 01:46:00 Future of Developer Education: Adapting to AI Tools Like GPT Engineer 02:00:00 Connecting GPT Engineer to Itself: Implications of AI Singularity 02:04:00 The Future of AGI: Dystopian Nightmares vs. Utopian Realities