AI
Copado Brings AI Agents to DevOps Platform for Building Custom Salesforce Apps
Copado has added artificial intelligence (AI) agents to its DevOps platform for building and deploying custom applications for the software-as-a-service (SaaS) application platform from Salesforce. At launch, Copado is making available Agentia ...
AWS Security Agent Brings Full Repository Code Scanning to Preview
Security teams have long relied on static analysis tools to catch vulnerabilities before code ships. Those tools are useful, but they have a fundamental limitation: they match code against known patterns. They ...
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 ...
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 ...
