GitHub Copilot adds Agent Mode with MCP support to all VS Code users, bringing agentic capabilities and multi-model choice that will revolutionize DevOps workflows.
Best of 2025: OpenAI Codex: Transforming Software Development with AI Agents
OpenAI has launched Codex, a cloud-based software engineering agent poised to revolutionize developers’ approaches to coding tasks. Powered by codex-1, a specialized version of OpenAI’s o3 model, Codex can work on multiple tasks simultaneously, offering developers an AI companion that understands their codebase and can handle a variety of software engineering responsibilities. What is Codex? […]
Dynatrace Delivers on Promise to Observe AI Coding Tools from Google
Dynatrace announced new integrations with Google Cloud Gemini Enterprise and Gemini CLI, using agentic AI, A2A protocol, and MCP servers to enhance observability, root-cause analysis, and DevOps governance across AI-driven workflows.
Why Your AI Agent Strategy is Failing (and How to Fix It): The Microservices Playbook for AI Agents
Despite billions in AI investment and countless vendor promises, most enterprises are still treating AI agents like glorified copilots rather than autonomous systems. After working with numerous enterprise customers implementing AI agents across various industries, a pattern has emerged: The companies finding real success aren’t the ones building the biggest, most ambitious agents — they’re the ones treating agents as microservices. As of […]
New Relic AWS Integrations Go Deep on Root Cause Observability Analysis
New Relic expands its observability platform with deep AWS integrations to speed incident resolution and support AI-driven DevOps workflows.
Multi-Agent System Promises Faster Bug Detection and Resolution
IT outages cost companies over $14,000 per minute. IBM Research’s Project ALICE uses multiple AI agents to help engineers find bugs faster and restore systems. Software bugs are expensive. When a critical system goes down, every minute of downtime costs revenue, frustrates customers, and strains engineering teams scrambling to find the problem. The challenge isn’t […]
Harness Allies with AWS to Integrate AI Agents for Software Engineering
Harness this week extended its alliance with Amazon Web Services (AWS) to integrate their respective artificial intelligence (AI) agents to automate DevOps workflows. Announced at the AWS re:Invent 2025 conference, Harness is now integrating the Model Context Protocol (MCP) server it added to its continuous integration/continuous delivery (CI/CD) platform with the Kiro AI coding tool […]
AWS Adds Specialized AI Agents to Kiro Coding Tool to Automate DevOps Tasks
Amazon Web Services (AWS) today at its re:Invent 2025 conference extended its Kiro artificial intelligence (AI) tool to provide access to a set of agents that have been trained to trigger specific actions as they observe the way code is being created. Adnan Ijaz, director of project management for Kiro at AWS, said these specialized […]
What I’m Thankful for in DevOps This Year: Living Through Interesting Times
Alan reflects on a chaotic yet inspiring year in DevOps, highlighting the rise of AI in engineering, the maturation of DevSecOps, the evolution of hybrid work culture, the surge of platform engineering and IDPs, and the continued strength and inclusivity of the DevOps community — while acknowledging the talent crunch, tool sprawl and security theater that still challenge the industry.
The Future of Infrastructure Automation in the Age of Autonomous Agents
For more than a decade, the evolution of infrastructure automation has followed a clear trajectory. Organizations have invested in workflows, pipelines, controllers, and compliance engines because the market demanded stronger guarantees around reliability and scale. Outages turned into measurable losses. Small misconfigurations cascaded into systemic failures. Even highly skilled teams struggled to keep pace with […]
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