Vibe coding is a fast-growing way to build software with AI by describing what you want, enabling teams to create useful ...
A member of OpenAI’s 11-person founding team, Karpathy focused on generative modeling, computer vision and reinforcement ...
On a 5K screen in Kirkland, Washington, four terminals blur with activity as artificial intelligence generates thousands of lines of code. Steve Yegge, a veteran software engineer who previously ...
This article breaks down five practical use cases, plus the guardrails leaders need, so organizations can move quickly without creating unnecessary risk.
2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...
A new approach to software creation gained renewed attention when Andrej Karpathy recently coined it “vibe coding”. According to Karpathy, this new kind of coding is “where you fully give in to the ...
OpenAI cofounder Andrej Karpathy says 'agentic engineering is the next evolution in AI coding as vibe-coding marks its first anniversary.
Discover Agentic Engineering, the new paradigm coined by Andrej Karpathy that supersedes vibe coding. Explore how AI agents are taking over software development and how testing infrastructure is ...
It's a question software engineers are increasingly asking as AI automates more of their work. Software experts suggested embracing AI tools, improving prompts, and mastering clear thinking to stay ...
You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Shubhangi Goel Every time Shubhangi publishes a story, you’ll get an alert straight to your ...
Steve Yegge, who was at Amazon in the early days and spent 12 years at Google, says his fellow engineers need to learn to say ...
What if the secret to unlocking the full potential of AI in coding isn’t about crafting the perfect prompt but about designing the perfect environment? Imagine an AI system that doesn’t just guess at ...
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