Continuous integration provider Buildkite has introduced pipeline-scoped secrets and new Model Context Protocol tools for validating pipelines, diagnosing failed builds and repairing webhooks. The...

大语言模型易产生幻觉，检索增强生成（RAG）通过外部知识降低错误。但标准RAG流程线性、仅单次检索，难以应对多步推理、跨文档综合等复杂查询。Agentic RAG将模型变为自主推理引擎，形成“规划—执行—评估—循环”，具备查询路由、查询分解、自我反思与工具调用四种机制。简单查询宜用标准RAG，复杂高精度场景宜用Agentic RAG，也可混合使用。

New analysis shows how agentic AI adoption is growing across EU enterprises and small businesses—and where deeper use could unlock more value.

QCon San Francisco 2026 will bring together practitioners from Airbnb, OpenAI, Netflix, Honeycomb, and other engineering organizations to share how they are building, operating, and evolving...

Graphify is an open-source tool designed to convert codebases and unstructured data into queryable knowledge graphs. Launched in April 2026, it addresses challenges of multi-file reasoning for AI...

Successful transformations no longer require an army of people at the center.

Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares how integrating DMN decision models with LLMs,...

Google has open-sourced Mantis, an AI-agent framework designed to automate the software vulnerability lifecycle, from identifying and validating vulnerabilities to reproducing and fixing them....

Early experience implementing agentic workflows highlights emerging trade-offs that frontline leaders need to understand.

Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy...

Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. It enables autonomous agents and complex task...

At their core, AI transformations are a reinvention of how work gets done. This requires change leadership, not just change management.

At their core, AI transformations are a reinvention of how work gets done. This requires change leadership, not just change management.