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How to outsource coding tasks to AI without losing quality
There’s a developer in Lagos, let’s call him Tobi, who used to spend the first three hours of every workday writing the same kind of code. CRUD functions, API boilerplate, unit test scaffolding.
Claude beat ChatGPT in our reader poll, revealing how coding strength, workflow fit, and values are reshaping AI loyalty among power users.
Snowflake Intelligence gains automation features, while Cortex Code will be able to access more data sources in more ways.
OpenRouter's community model rankings reveal that most LLM token consumption is now generated by non-coders engaged in ...
New controversial job listings suggest that the way Ubisoft develops their biggest franchises may soon forever change ...
At GrafanaCON '26 in Barcelona, the company has introduced new AI observability tools. It claims they will close the gap ...
Grafana Labs, the company behind the open observability cloud, today announced a set of new AI-focused capabilities at GrafanaCON 2026: AI Observability in Grafana Cloud; a significant expansion of ...
A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...
K2.6 的 Agent 集群功能,虽然从 K2.5 就开始引入,但我的感受是,这次才算是真正的成熟了。 K2.5 的上限是 100 个子 Agent、1500 步,而到了 K2.6 这里,则直接拉到了 300 个子 Agent、4000 步。
至顶头条 on MSN
所有人都在谈AI护栏,但真正在构建它的人在哪里?
所有人都说AI需要护栏,但真正在构建它的人寥寥无几。SkipLabs创始人Julien Verlaguet深耕这一问题已逾一年,他发现市面上多数"护栏"不过是提示词包装。为此,他打造了专为后端服务设计的AI编程智能体Skipper,基于健全的TypeScript类型系统与响应式运行时,实现增量式代码生成与测试,内部基准测试通过率超90%。他认为,编程语言的"人类可读性时代"正走向终结,面向智能体的 ...
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 ...
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