Vibe Coding Is The Future (AI column)

Interesting. video From Y Combinator to discuss vibe coding, an approach to programming described by Andrey Karpaty, co-founder of OpenAI and former director of AI at Tesla. February 2025 year tweetDescribing personal experience using Cursor Composer with Whisper integration for voice control. In the end, the guys from Y Combinator decided to take a look at how much this approach to development changes the rules of the game. Highlights of the discussion include:

1) The role of an engineer in the age of AI According to the YC poll, 25% of founders claim that 95A percentage of their code base is generated by AI. This does not mean the disappearance of technical skills, but redefines priorities and a key competence shifts towards product thinking – the ability to determine what to build, rather than how to code it. Interestingly, that's what we've done recently. debate S0ER on the Code of Leadership podcast 2) Tools and work processes Cursor and Windsurf They became favorites thanks to the integration with the code base and offline file analysis. Gemini It is allocated with a long context window, allowing you to download the entire code base to correct errors. Sonnet and Deepseek compete as engines for generation. Devin So far, it is limited to simple tasks. Debugging remains a weak link: AI is often unable to correct errors, requiring complete code regeneration. The founders compare this to the regeneration of images in Midjourney with the same prompt - instead of point edits, the code is rewritten from scratch. 3) Transforming recruitment and education Classical algorithmic interviews are becoming obsolete. Companies like Stripe and Gusto are shifting to evaluating practical productivity, such as prototyping. 3 hour. However, for scaling projects, system architects – specialists who are able to optimize the infrastructure for high loads – are critically important. Generation Z, starting a career with AI tools, shows unique advantages. Trained in a digital environment, they avoid the classic syntactic burden by focusing on logic and productivity. Without a fundamental understanding of architecture (As with Twitter and its scaling problems) Even the code generated risks becoming a “technical debt.” 4) Future of development: recommendations and risks Integrating AI into education: The curriculum must combine code generation with a deep understanding of system design. Rethink hiring metrics: Emphasis on debugging skills, code review, and product vision instead of algorithmic puzzles.

• Investments in debugging tools: Current LLMs are weak in error analysis, which will be a key area for future model versions.

All these theses are confirmed by the authors of the podcast with quotes from communication with the founders of startups that are included in Y Combinator.

#AI #Software #Engineering #Management #SystemDesign #ProductManagement #Productivity #Architecture