An agent harness is the scaffolding that lets an AI model operate autonomously on a real task: run tools, observe results, and loop until the job is done. Unlike a chat interface where you steer every ...

New code-to-spec workflow connects building regulations directly to project specifications, helping teams surface risks earlier and reduce costly rework. The release comes as compliance demands ...

Spring is in full swing in Uptown Jackson, and Jackson in Bloom took place on Saturday, April 25, to celebrate. Cape County Park South hosted the 5th Annual “A Day in the Park with Green Bear” event ...

Endor Labs, the leader in AI-native application security, today announced the acquisition of Autonomous Plane, a cloud-native application security company founded by Kyle Quest, creator of DockerSlim.

Abstract: A cloud-native application is kind of software built to fully leverage a cloud computing environment, rather than being a traditional application adapted for the cloud. The goal is to create ...

Apple is bringing agentic coding to Xcode. On Tuesday, the company announced the release of Xcode 26.3, which will allow developers to use agentic tools, including Anthropic’s Claude Agent and ...

Albeit mainly considered a theoretical risk, the flaw has been exploited to disable protections and deliver malware. Tracked as CVE-2025-11953 (CVSS score of 9.8) and disclosed in early November, the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

A maximum severity vulnerability, dubbed 'React2Shell', in the React Server Components (RSC) 'Flight' protocol allows remote code execution without authentication in React and Next.js applications.

A maximum-severity security flaw has been disclosed in React Server Components (RSC) that, if successfully exploited, could result in remote code execution. The vulnerability, tracked as ...

Abstract: Code generation models based on large language models (LLMs) have gained wide adoption, but challenges remain in ensuring safety, accuracy, and controllability, especially for complex tasks.

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