Cisco to Add AI Agents to Splunk Observability Platforms
Cisco today at its Splunk .Conf25 conference previewed a series of artificial intelligence (AI) agents for the Splunk Observability platform that are capable of automating the collection of telemetry data using open source OpenTelemetry software, detecting issues, identifying root causes, and applying fixes. At the same time, Cisco also launched Cisco Data Fabric, a platform […]
JFrog Unveils DevOps Platform for the Agentic AI Era
JFrog at its annual swampUP conference unfurled a DevOps platform, dubbed JFrog Fly, designed to enable application developers to more easily integrate artificial intelligence (AI) agents within workflows at scale. Via the Model Context Protocol (MCP) developed by Anthropic, JFrog Fly is designed to integrate with multiple AI repos and platforms such as Cursor, GitHub […]
Nominations Are Open: DevOps Dozen 2025
The DevOps Dozen 2025 awards are open. Celebrate community leaders and tools shaping DevOps, from AI to platform engineering and supply chain security.
Keeping Humans in the Loop: Why Human Oversight Still Matters in an AI-Driven DevOps Future
AI agents can now generate, test, deploy, and monitor code — but removing humans from the loop is dangerous. Learn why oversight, guardrails, and collaboration are essential to the future of DevOps.
Stack Overflow Survey Shows AI Adoption for Devs
We’re in a transition, not a rush: Developers are open to AI, but they’re also wise—and rightly cautious—about when and how they trust it, notes Alan. Read the full op-ed for more insights and stats.
Survey Attributes Massive Economic Gains to Rise of AI in Software Development
A global survey of executives finds organizations are saving $28,249 per developer annually thanks to investments in AI.
AI-Driven Observability: Fast, Context-Rich MCP Servers
Christine Yen—developer-turned-CEO—explains why Honeycomb built an MCP server and why every observability vendor may follow. MCP, short for Model Context Protocol, acts like a concierge for AI agents: It makes a product’s API, telemetry schema and helper tools easily discoverable so large-language models can ask precise questions instead of guessing. Yen sees it as table […]
Context on Tap: How MCP Servers Bridge AI Agents and DevOps Pipelines
Large language models can draft code or move artifacts, but without situational awareness they still trip over the basics. Cloudsmith CEO Glenn Weinstein tells Mike Vizard why a new piece of plumbing—the Model Context Protocol (MCP) server—is quickly becoming table stakes. Think of MCP as a receptionist for AI agents: it answers questions like “Which […]
Is Generative AI Replacing Junior Developers?
Generative AI tools aren’t just autocomplete for code—they’re reshaping the very first rung on the engineering career ladder. Host Mike Vizard asks Juan Salinas, VP of business development at Jalasoft, and software engineer Rolando Lora whether entry‑level developer jobs are about to disappear. Salinas is blunt: the routine, low‑risk tickets that once taught newcomers the ropes […]
Coralogix MCP Server Offers Observability View Into AI Agents
Full-stack observability platform company Coralogix has detailed the launch of its new Model Context Protocol Server technology. The product is designed to allow third-party AI agents to connect directly to Coralogix’s observability data services to provide a deeper view into the new fabric of agentic AI connections. Breaking down the observability viewfinder on offer here, […]
Perforce Adds Autonomous AI Agent to Test Mobile Apps
Perforce Software today added an artificial intelligence (AI) agent that autonomously adapts tests it has created as changes are made to mobile computing applications. Don Jackson, technical evangelist for Perforce, said via a natural language interface it’s now possible for DevOps teams to leverage an AI model that Perforce developed to generate tests using a […]
Could Agentic AI in DevOps Create New Security Flaws?
We must design agents with least privilege and hardened prompts, monitor them like production microservices and plan for the strange, emergent failures that only autonomous systems invent.
Fast Code, Real Risks: Guardrails for AI-Generated Software
Yonatan Arbel, developer advocate in the Office of the CTO at JFrog, dives into the potential risks and rewards of relying on artificial intelligence (AI) agents to build and deploy software. Yes, more code is shipping faster than ever, Arbel admits, but volume alone isn’t a win—each hastily synthesized line must still survive build servers, […]
Atlassian Adds CLI Option to AI Agent for Building Software
Atlassian has added a command line interface (CLI) option to provide application developers with a familiar construct for invoking Rovo Dev, its artificial intelligence (AI) agent for building software Part of a portfolio of Rovo Software Agents that Atlassian now makes available in beta, Rovo Dev completes and debugs code, creates tests, surfaces insights and […]
Zencoder Adds AI Agent to Test Code to Portfolio
Zencoder today made available a public beta of an artificial intelligence (AI) agent that extends its platform for writing code into the realm of application testing. Company CEO Andrew Filev said Zentester in addition to making it simple for application developers to test their own code, will augment DevOps teams by making it possible to […]
Cloud ROI is Broken. Agentic AI Might Be the Fix.
Cloud environments are more complex to manage than anticipated, and the associated costs have spiraled far beyond early projections.
Managing Day 2 Concerns for Agentic AI Architecture
We’re now in the fifth wave of computing. If that sounds dramatic, that’s because it is—and probably also because someone in marketing really wants to make “agentic AI” stick. For those keeping track at home, the first four waves were mainframes (your granddad’s computer), web (when we were all hopeful), cloud (when we were still […]
Logz.io Unveils Observability Platform Designed First for AI Agents
Logz.io today launched an edition of its observability platform that is intended to be primarily used by artificial intelligence (AI) agents rather than DevOps engineers. Company CEO Tomer Levy said that as DevOps continues to evolve it’s become apparent that most tasks pertaining to observability will soon be assigned to AI agents. This edition of […]
Postman Adds AI Agent Mode to Design, Build and Deploy APIs
Postman today revealed it has developed artificial intelligence (AI) agents for its platform for designing and building application programming interfaces (APIs). Announced at the POST/CON 2025 event, the Agent Mode enables developers to, via a natural language interface, automate entire multi-step workflows spanning the designing, testing, documenting and monitoring of a single API or a […]
New Relic Integrates AI Agents with Copilot Coding Agent from GitHub
New Relic this week made available a preview of an integration with the artificial intelligence (AI) agents it created for its observability platform with the AI agents that GitHub has developed. Nic Benders, chief technical strategist for New Relic, said AI agents that the company has developed will now be able to create an issue […]
Perforce Commits to Building Agentic AI Fabric for DevOps Workflows
Perforce Software this week committed to building an agentic artificial intelligence (AI) framework that will be embedded across its entire portfolio of DevOps tools and platforms. Company CTO Anjali Arora said Perforce Intelligence will provide access to a set of AI agents that have been trained to automate a range of software engineering tasks that […]
Red Hat Previews Series of Updates to Ansible Automation Platform
Red Hat today at AnsibleFest 2025 previewed support for the Model Context Protocol (MCP) developed by Anthropic within Ansible Lightspeed, a set of generative artificial intelligence capabilities based on large language models (LLMs) specifically trained by Red Hat and IBM to automate IT tasks. Any LLM or associated AI agent will soon be able to invoke […]
OpenAI Codex: Transforming Software Development with AI Agents
OpenAI’s Codex transforms software development with cloud-based AI agents that can tackle multiple coding tasks simultaneously, enhancing developer productivity.