Hands-On Test of Xiaomi’s Fastest 1T Model: 1,000+ Tokens/s and 7s Vibe Coding
量子位 QbitAI3 days agoBenchmarkQbitAI’s title describes a hands-on evaluation of Xiaomi’s fastest 1T large model. The highlighted claim is performance: throughput above 1,000 tokens per second. It also frames the model around coding productivity, saying a Vibe Coding task was delivered in seven seconds, though no article body is available to verify methodology, task scope, model name, pricing, or benchmark conditions.
Cleaning up after AI rockstar developers
Hacker News (AI keywords)5 days agoOpinionThe post explores the phenomenon of "AI rockstar developers" who use AI tools to write code at breakneck speed. While appearing highly productive, they often introduce significant technical debt and architectural mess. The author highlights the growing burden on teams to clean up this AI-generated code, emphasizing the need for rigorous code review and architectural oversight.
Show HN: Command Center, the AI coding env for people who care about quality
Hacker News (AI keywords)5 days agoNew ToolCommand Center (cc.dev) launched on Hacker News as an AI coding environment tailored for developers who value code quality over sheer volume. It aims to address common pitfalls of AI code generation, such as bloat and technical debt, by offering precise context control. The tool targets professional software engineers seeking a more reliable and high-quality AI-assisted workflow.
Qwen 3.6 27B DeepSWE Benchmark Results Highlight Gap Between Local and Closed-Source Models
r/LocalLLaMA top day6 days agoBenchmarkA community benchmark of Qwen 3.6 27B on DeepSWE yielded a score of 1.79% (18/20th place), slightly outperforming Haiku 4.5. Run on a single RTX 6000 Blackwell GPU via vLLM with reasoning enabled, the test averaged 32 minutes and 44k output tokens per task. The author notes that while Qwen 3.6 27B represents a 'poor man's local SOTA,' the massive gap compared to frontier closed models suggests local LLMs are struggling to keep pace in complex coding.