
Sign up to save your podcasts
Or


Could 2026 mark the end of "vibe coding" as we know it? Welcome back to Tech Snippets Today. In this episode, we sit down with Nicolas Genest, Founder and CEO of CodeBoxx, to explore the rapidly shifting landscape of AI software development.
Over the past year, generating applications with natural language prompts has exploded in popularity. Tools like Lovable.ai, Replit, and Cursor have empowered developers and non-technical users alike to go from prompt to deployment in under 5 minutes. But there’s a catch: teams are discovering that prompt-generated code often lacks architectural coherence and creates hidden technical debt once products move beyond the demo phase.
Nicolas breaks down why we are reaching a critical inflection point and how the industry is moving from prompt-driven experimentation to inference-driven development. We discuss the future of systems where AI doesn't just generate code, but actively reasons about context, tests assumptions, and continuously refactors logic as conditions change.
Send a text
Many more amazing technology episodes to come! Subscribe and prepare for the new world. If you would like to join the show, please reach out.
For more information, please visit the following:
Website: https://www.josephraczynski.com/
Blog: https://JTConsultingMedia.com/
Podcast: https://techsnippetstoday.buzzsprout.com
LinkedIn: https://www.linkedin.com/in/joerazz/
X: https://x.com/joerazz
By Joseph RaczynskiCould 2026 mark the end of "vibe coding" as we know it? Welcome back to Tech Snippets Today. In this episode, we sit down with Nicolas Genest, Founder and CEO of CodeBoxx, to explore the rapidly shifting landscape of AI software development.
Over the past year, generating applications with natural language prompts has exploded in popularity. Tools like Lovable.ai, Replit, and Cursor have empowered developers and non-technical users alike to go from prompt to deployment in under 5 minutes. But there’s a catch: teams are discovering that prompt-generated code often lacks architectural coherence and creates hidden technical debt once products move beyond the demo phase.
Nicolas breaks down why we are reaching a critical inflection point and how the industry is moving from prompt-driven experimentation to inference-driven development. We discuss the future of systems where AI doesn't just generate code, but actively reasons about context, tests assumptions, and continuously refactors logic as conditions change.
Send a text
Many more amazing technology episodes to come! Subscribe and prepare for the new world. If you would like to join the show, please reach out.
For more information, please visit the following:
Website: https://www.josephraczynski.com/
Blog: https://JTConsultingMedia.com/
Podcast: https://techsnippetstoday.buzzsprout.com
LinkedIn: https://www.linkedin.com/in/joerazz/
X: https://x.com/joerazz