AI
AWS Extends Scope of AI Engines Embedded in Kiro Coding Tool
Amazon Web Services (AWS) today added additional capabilities to its Kiro artificial intelligence (AI) coding tool that promise to further reduce the time and effort needed to build software. Kiro now includes ...
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 ...
Red Hat Previews AI Agent Integration with Ansible Automation Platform
Red Hat today revealed it is extending the reach of its Ansible Automation Platform for IT operations to artificial intelligence (AI) agents, in addition to making it simpler to build AI agents ...
The Five Biggest Mistakes Organizations Make When Implementing SRE
Akash Thakur | | AIOps, cultural transformation, error budgets, incident response, observability, platform engineering, site reliability engineering, SLO, SRE, toilFrom cargo-culting Google's playbook to rushing AI-powered observability into production before the fundamentals are in place, here's where SRE transformations quietly go wrong, and how to course-correct. ...
Why Senior Engineers Still Do Manual Work in Highly Automated Environments
Automation has been part of enterprise IT for many years, and in many environments, it has grown into an extensive network of interdependent workflows that keep routine operations running smoothly. Scripts provision ...
GitHub’s Spec Kit Puts the Spec Back in Software Development
Tom Smith | | AI coding agents, devops automation, GitHub Copilot, GitHub Spec Kit, software governance, Spec-Driven Development (SDD), technical debt, vibe codingGitHub’s open-source Spec Kit aims to eliminate "vibe coding" by prioritizing durable specifications over vague prompts, providing a structured, agent-agnostic workflow for Copilot, Claude, and Gemini ...
When Should a DevOps Agent Act Without Human Approval?
Bala Priya C | | agentic DevOps, AI agents, AI Governance, approval fatigue., automated remediation, blast radius, DevOps autonomy, human-in-the-loopDeploying AI agents in DevOps requires a granular approach to autonomy based on reversibility, blast radius, signal quality, and time sensitivity to build organizational trust ...
NetDevOps Isn’t Stalled, it’s Stuck on the Wrong Problem
Tim Schreyack | | AI readiness, intent-driven networking., NetDevOps, NetDevOps skills gap, network automation, network engineering, Organizational Change, source of truthWhile technical tools like Python and Ansible are mature, 44% of professionals identify cultural and organizational hurdles as the primary barriers to NetDevOps adoption and successful automation ...
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 ...
Survey Surfaces Significant Levels of IDP Investment to Reduce SDLC Friction
A survey of 954 IT decision-makers suggests more resources are now being allocated to reducing friction across the software development lifecycle (SDLC). Conducted by CDW, the survey finds more than two-thirds of ...
Survey Sees AI Driving DevOps Productivity Gains Despite Challenges
A global survey of 636 software development professionals published today finds nearly two-thirds (64%) believe they are achieving at least a 25% increase in developer velocity and productivity using artificial intelligence (AI) ...
Mistral Moves Coding Agents to the Cloud — and Gets Out of Your Way
Mistral's latest release shifts AI-assisted development from your laptop to the cloud. Here's what that means for development teams ...
