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GTLB is trading near the bottom of its 52-week range and below its 200-day simple moving average. Price change The price of GTLB shares has decreased $0.41 since the market last closed. This is a 1.88 ...

GitLab, Inc. engages in the intelligent development, security, and operations (DevSecOps) platform for software innovation. It enables organizations to increase developer productivity, improve ...

Anthropic’s Model Context Protocol, a fast-growing standard used to connect AI models with external tools and data, has come ...

GitHub has just announced the availability of custom images for its hosted runners. They've finally left the public preview ...

2026 年，企业数据中台建设已全面进入深水区。经过上一阶段的集中投入，大量企业完成了数据汇聚与平台搭建，但新的瓶颈随之浮现：数据中台“建而难用”的尴尬普遍存在 —— 跨系统数据标准不一、指标口径冲突频发、数据质量问题反复出现，最终导致业务部门对中台的信任度和使用率持续走低。 问题的症结在于：数据治理能力没有与中台建设同步升级。当企业将海量、多源、异构的数据注入中台时，如果治理手段仍然停留在“人工 ...

Claude Opus 4.7 is Anthropic's newest flagship model, boasting a jump to 64.3% on SWE-bench Pro (a brutal test of fixing real ...

Explore the top 10 new and promising API testing tools in 2025-2026 that are transforming the testing landscape.

随着人工智能技术深入渗透软件开发领域，"氛围编程"催生的代码生成热潮正让企业陷入新的困境。大量由AI生成的代码涌入代码库，导致代码审查压力激增、安全隐患频发，这一现象被业界称为"代码过载"。据技术调研机构报告显示，AI生成的代码中存在漏洞的概率比人工编写代码高出23%，且需要资深工程师投入额外40%的时间进行修复才能达到上线标准。

这项由蒙特利尔学习算法研究所（Mila – Quebec AI Institute）与麦吉尔大学联合开展的研究，以预印本形式发布于2026年4月，论文编号为arXiv:2604.07776。有兴趣深入了解的读者可通过该编号在arXiv上查阅完整原文。