"You're not looking at every single line of code. You're more trying to communicate this higher-level goal of what you want to accomplish."
"We definitely want to make it very clear that the responsibility, at the end of the day, is in the hands of the engineers."
"I think there's broad recognition among these AI model providers that coding is really where they're getting the most traction."
A fast-growing AI market focuses on chatbots that generate computer code, enabling developers to delegate repetitive syntax tasks. Some practitioners call the practice "vibe-coding" because developers convey high-level goals while AI handles low-level implementation. Anthropic released Claude Sonnet 4.5, positioned as highly capable for coding and complex tasks. Large language models power tools used across many functions, but coding remains the top enterprise use case according to Gartner. Competition centers in the Bay Area among OpenAI, Anthropic, Google and startups. Companies emphasize that engineers retain ultimate responsibility for correctness and final code quality.
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