Skip to content
360SOFTY
HomeInsights

Insights

Ideas for building
better software.

Engineering perspectives on architecture, product development, AI, and the everyday decisions behind useful software.

From the engineering desk

Browse practical articles or follow the latest technology updates.

Subscribe via RSS →

Curated links from external sources — not 360Softy original articles.

External
The Hacker News

Ruflo MCP Flaw Lets Unauthenticated Attackers Run Commands and Poison AI Memory

Cybersecurity researchers have flagged a maximum-severity security flaw in Ruflo, an open-source agent meta-harness for Anthropic Claude Code and OpenAI Codex, that could result in unauthenticated remote code execution. The vulnerability, tracked as CVE-2026-59726 (CVSS score: 10.0), impacts all versions of the project before version 3.16.3. It has been codenamed RufRoot by Noma Security's

The Hacker NewsRead original
ExternalAI
AWS Machine Learning Blog

Generate Autonomous Business Insights with AI Agent and MCP Servers

Learn how Amazon Bedrock AgentCore delivers autonomous, cross-system business intelligence through configuration rather than custom code. Using pre-built MCP server connectors, fine-grained access control, and persistent memory, enterprises can query multiple data sources with natural language while enforcing role-based boundaries automatically.

Advanced (300)Amazon Bedrock AgentCoreTechnical How-to
AWS Machine Learning BlogRead original
External
The Hacker News

Three Critical VMware Flaws Allow Auth Bypass, Code Execution, and VM Escape

Broadcom has released security updates to address multiple security flaws impacting VMware ESX, vCenter, Workstation, and Fusion, three of which have been designated as critical in severity. The first of the three critical-rated flaws is CVE-2026-59309 (CVSS score: 9.8), which has been described as an authentication bypass in VMware vCenter. "A malicious actor with network access to vCenter

The Hacker NewsRead original
ExternalAI
AWS Machine Learning Blog

Automating customer retention workflows in Amazon Quick

Learn how to build a no-code customer retention pipeline in Amazon Quick that detects at-risk customers from call transcripts and CSAT data, scores them by retention priority with a custom MCP Action, and generates personalized retention letters, reducing response time from days to minutes.

Advanced (300)Amazon Quick SuiteAmazon Simple Storage Service (S3)
AWS Machine Learning BlogRead original

Let’s start with a conversation

Tell us what you’re working on.

An idea, a challenge, or a system that needs to work better. We’ll help you understand the next step.

Discuss your project

Prefer email? [email protected]