Perforce Software is making the Model Context Protocol (MCP) that artificial intelligence (AI) tools and agents invoke to access data available across its entire portfolio of DevOps platforms. Jake Hookom, executive vice president of product for Perforce, said the code management, application testing and infrastructure management tools and platforms the company provides will now all […]
Anthropic Research Shows Trade-Off Between AI Productivity and Developer Mastery
Artificial intelligence tools are now a routine part of today’s software development, promising faster output and reduced workloads. But new research from Anthropic suggests that when developers rely on AI while learning new skills, those productivity gains may come at the expense of understanding. In a randomized controlled study involving 52 mostly junior software engineers, […]
Bot-Driven Development: Redefining DevOps Workflow
Explore the transformative impact of bot-driven development (BotDD) in DevOps, where AI-powered tools drive significant parts of the software lifecycle. Learn how this evolution combines human insight with intelligent automation to enhance productivity, reduce errors, and streamline workflows.
Top 15 DevOps Trends to Watch in 2026
Launched in 2008, the audio streaming platform Spotify has more than 200 million active users worldwide. Initially, Spotify relied on a homegrown container orchestration system called Helios. In 2017, this became a bottleneck, and the IT team implemented Kubernetes, which increased speed while reducing costs. With Kubernetes, the Spotify backend team can develop new services […]
Survey Surfaces Disconnect Between DevOps Metrics and Business KPIs
A survey of 418 DevOps professionals finds that while DevOps teams closely monitor and observe the performance of applications, not nearly as many are able to correlate the value of those efforts to the business. Conducted by Catchpoint, a unit of LogicMonitor, the survey finds more than two-thirds (67%) believe application degradations are either always […]
Opsera Report Highlights DevOps Challenges Created by AI Coding Tools
An analysis published today by Opsera, a provider of a DevOps platform, finds that while adoption of artificial intelligence (AI) coding tools has increased developer productivity they also create more duplicate code, resulting in 15 to 18% more security vulnerabilities per line of code compared to code created by a human developer. Overall, the Opsera […]
The Four Knobs of AI Agent Reliability: A DevOps Perspective
AI agents aren’t chatbots—they’re systems that act. This guide cuts through the hype to show how DevOps teams can configure, trust, and run AI agents reliably in production.
Futurum Group Survey Sees Increasing Investments in AI to Deliver Software
A global survey of 628 enterprise IT leaders conducted by the Futurum Group finds that increasing investment in generative artificial intelligence (AI) (40%), followed closely by AI and machine learning (ML) technologies (39%) and applying AI to IT operations (37%), also known as AIOps, are expected to be the top three drivers for accelerating software […]
Harness Adds AI Agent to Help Investigate Incidents
Harness today added an artificial intelligence (AI) agent to its portfolio that has been specifically trained to help DevOps teams investigate events that occurred prior to an incident. Tina Huang, vice president of product and engineering for AI SRE at Harness, said the Harness Human-Aware Change Agent leverages large language models (LLMs) to analyze comments […]
FinOps Meets DevOps: Engineering Cost Ownership in 2026
In 2026, cloud cost overruns stop being finance’s problem and become an engineering responsibility. Here’s how treating cost as code finally makes FinOps work.
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