AI
IBM, Red Hat Launch Project Lightwell to Secure Open Source Software from Frontier Models
Jeff Burt | | AI (Artificial Intelligence), AI security risks, AI vulnerability detection, Anthropic Mythos Preview, frontier AI models, Google Cloud, microsoft, open source software security, OpenAI, Project Glasswing, Project Lightwell, red hatIBM and Red Hat are bringing together what they’ve learned from frontier AI models and 20,000 engineers to launch Project Lightwell, a $5 billion initiative aimed at helping enterprises better secure their ...
Why Agent Skills Are the Next Evolution of Software Development
The emergence of agent skills — modular, reusable blocks of natural language instructions and metadata — is transforming the developer’s role ...
The Future of Salesforce DevOps: Preparing for the AI Era
Damodhar Reddy Mutayalwad | | ai, AI and DevOps, deployments, devops, failures, metadata risks, Predictive Analytics, SalesforceBy establishing a robust DevOps foundation now, organizations can leverage these emerging predictive capabilities to transform reactive pipelines into proactive, self-correcting release architectures ...
The End of Alert Fatigue: How AI-Powered Observability is Transforming SRE Teams in 2026
Neel Shah | | AI-powered observability, AIOps alert fatigue, automated root cause analysis, baseline threshold monitoring, burnout, cut MTTR with AI, fatigue, incident response playbook automation, open source observability correlation, SRE burnout reduction, SRE teams, unified telemetry data planeAlert fatigue among Site Reliability Engineering (SRE) teams has reached a breaking point, with responders drowning in thousands of weekly notifications where only 3% genuinely warrant attention. This massive volume of noise—driven ...
5 Ways Agentic AI is Redefining DevOps Architecture for Self-Healing CI/CD Systems
Lucy Manole | | agentic AI DevOps, automated incident remediation, autonomous test repair, continuous security scanning, DevOps automation vs autonomy, flaky tests AI agents, Model Context Protocol MCP, multi-agent orchestration, predictive failure detection, self-healing CI CDThe era of the flaky test as a simple annoyance is over. As enterprises shift from deterministic applications to agentic AI, flakiness has evolved into a structural bottleneck for traditional CI/CD pipelines ...
Perplexity Bumblebee Shakes Loose Hidden Threats on Dev Desktops
The fight to maintain security has moved to the engineer’s messy desktop. Last week, AI search provider Perplexity open-sourced an internal tool, Bumblebee, for checking developer machines, either Linux or macOS, for ...
Co-Developing an AI Native Observability Platform
Garima Bajpai | | Agentic Workflows, AIOps, co-development, multi-domain observability, Network Language Model, network operations, Selector AI, telemetry correlationModern distributed hybrid enterprise environments are moving away from siloed monitoring toward AIOps platforms like Selector AI, which combine multi-domain data ingestion, domain-specific network language models, and co-development to enable autonomous, agentic ...
Attackers Can Exploit a Claude Code RCE Flaw to Take Command of System
Jeff Burt | | agentic AI, AI (Artificial Intelligence), AI security risks, Anthropic Claude Code, automated parsers, deeplinkA dangerous vulnerability found in Anthropic’s popular Claude Code developer model could have allowed bad actors to grab control of a victim’s system by luring them into clicking on a crafted malicious ...
Eight Ways AI Will Reshape DevOps in 2026 and Beyond
In 2026 and beyond, AI will not just change how software is developed, but change the very fundamentals of how people work ...
Microsoft Open-Sources RAMPART and Clarity to Bring Agent Safety Into the Dev Workflow
Microsoft open-sources RAMPART and Clarity to help dev teams embed AI agent safety testing directly into CI pipelines and design workflows ...
CloudBees Survey Surfaces Increase in Production Issues Attributable to AI
A survey of 213 IT leaders, conducted by CloudBees, finds that while 93% report they are seeing productivity gains that are driven by increased adoption of artificial intelligence (AI) tools, a full ...
