As more companies plug AI agents into the deepest depths of their internal data banks, how can they be sure The post Modus’s operandi: To give AI agents just the right amount of context appeared...

Every major security vendor now has an AI copilot, but Mate Security thinks they’re solving the wrong problem. The Tel The post Mate Security bets a context-first AI architecture can reinvent the...

A production AI agent depends heavily on the context layer that tells it what to know at the moment it acts. It can pass every staging test, answer questions, call the right tools, and demo...

In this tutorial, I’ll show you how prompt engineering and context engineering can improve an AI agent's performance. We’ll build a simple local agent, start with a baseline input, then improve it wit

In this No Dumb Questions, Stack's Director of Data Science Michael Foree teaches Phoebe about AI context, context engineering, and what she can do to become a better context engineer....

Somewhere around your third agent, someone in a design review asks, "Shouldn't we be using A2A for this?" It's a fair question that most teams can't answer well, because the two big agent...

The prompt a production LLM receives is almost never something a person wrote. By the time a request reaches the model, your app has stitched together system instructions, retrieved documents,...

Today, we’re launching JetBrains Context, a new repository intelligence layer that helps coding agents work more efficiently and produce higher-quality results on complex codebases. As part of the...

2026年，全球企业因AI使用间接泄露的专有知识总估值超4000亿美元，你每纠正一次模型错误就是在给厂商白送下季度对手用来击败你的弹药？ 诺贝尔经济学奖得主Kenneth...

There’s a pattern I’ve watched repeat for two years. A team builds an agent, hits reliability problems, upgrades the model, The post The bottleneck for AI agents isn’t the model anymore. It’s the...

voyage-context-4是新一代上下文化块嵌入模型，能够在无需手动元数据的情况下捕捉完整文档上下文。它在39个数据集上超越前代模型，支持自动分块和处理超长文档，提升检索准确性，适用于多种应用场景。

AWS推出AWS Context服务，通过知识图谱自动映射企业数据关系，提升AI代理的决策能力。该服务允许开发者控制数据输入，确保AI代理获取最新的上下文信息，并支持Amazon Quick，帮助AI代理在组织内共享和利用知识图谱，提高决策的准确性和智能化。

本文探讨了“语义暗物质”概念，指出AI通过捕捉任务边界信息可能实现自主发现。以健身房案例为例，AI在诊断电脑故障时识别环境信息，展示其潜在的发现能力。文章认为AI的突破在于构建丰富的情境重建能力，而非仅提高问答准确率，并提出相关研究方向建议。

上下文文件（如AGENTS.md和CLAUDE.md）用于自动注入AI智能体的会话提示词，分为全局和项目级别。合理管理这些文件可以提高编码效率和准确性，确保智能体间信息同步。通过多层级管理，可以为不同模块制定特定约束，提升项目协作效果。