AWS Community Hub
Hacktron Plans to Build AI Platform to Test Code for Vulnerabilities
Hacktron revealed today it is developing a platform that leverages artificial intelligence (AI) to continuously test code for vulnerabilities. Fresh off raising $2.9 million in seed capital, Hacktron founder Zayne Zhang said ...
OpenAI’s Daybreak Challenges Anthropic in AI Cybersecurity Race
OpenAI has moved deeper into enterprise cybersecurity with the launch of Daybreak, a platform that identifies software vulnerabilities, validates fixes, and speeds up patching workflows using AI models and its Codex Security ...
Vercel’s deepsec Brings AI-Powered Security Scanning Into the Development Workflow
Security has long been the last item on the checklist. Code gets written, reviewed, merged—and then, somewhere down the line, a security team takes a look. That model worked when development moved ...
Bridging the IT Divide Without Breaking What Already Works
Modernizing SQL Server infrastructure means balancing stability, automation and uptime across legacy and modern IT environments ...
The Great Decoupling: Scaling the Outer Loop for the Agentic Era
Nassir Khan | | AI coding agents, AI-SDLC, compliance automation, devsecops, software development lifecycleThe "Inner Loop" of software development—the iterative cycle of writing, building, and debugging code—has just broken the sound barrier. With the emergence of agentic coding tools like Claude Code and GitHub Copilot ...
Arm Adds Free Toolkit to Analyze AI Agent Performance
Arm this week made available a free toolkit for analyzing agentic artificial intelligence (AI) workloads as they are being developed by DevOps and platform engineering teams. Earlier this year, Arm unveiled a ...
Documentation is Dead. Long Live Documentation.
Avi Cavale | | AI tools, developer productivity, documentation, engineering culture, knowledge managementWhy traditional documentation fails and how capturing knowledge during work creates a living, scalable system of record ...
When AI Goes Really, Really Wrong: How PocketOS Lost All Its Data
Steven J. Vaughan-Nichols | | AI agent, AI coding agent, AI safety, Anthropic, Anthropic Claude, autonomous agents, backups, Claude, Cloud Security, Cursor, data loss, PocketOS, RailwayYou can't make this crap up. You just wish you could. Jer Crane, founder of the small vertical software company, PocketOS, reported on X that the AI Cursor coding agent and a ...
Microsoft Turns to Anthropic’s Mythos to Improve Cyber Defense
Microsoft has unveiled plans to incorporate Anthropic’s Claude Mythos Preview model and other AI models into its Security Development Lifecycle, embedding AI directly into the stages where code is written and tested ...
How to Manage Operations in DevOps Using Modern Technology
Samuel Ogbonna | | AIOps, infrastructure as code, observability, platform engineering, site reliability engineeringHow modern DevOps teams manage operations using automation, observability, AIOps and self-service to reduce toil and improve reliability ...
AI Agents in DevOps: Hype vs. Reality in Production Pipelines
The demos look super cool! An AI agent detects a failing deployment, rolls it back, opens a GitHub issue, and notifies Slack — all before the on-call engineer has finished reading the ...
Grafana Labs Extends Observability Reach Deeper Into AI
Mike Vizard | | AI agents, AI observability, cloud observability, devops, Grafana 13, Grafana Assistant, Grafana Labs, GrafanaCON 2026, kafka, kubernetes, Loki, Model Context Protocol, OpenTelemetry, Telemetry dataGrafana Labs debuts Grafana 13, a specialized AI application observability platform, and an MCP-powered AI agent at GrafanaCON 2026 to streamline telemetry across complex cloud-native environments ...
