Claude Code: Anthropic’s AI Developer Assistant Enhances DevOps Workflows
Discover how Anthropic’s Claude Code brings AI-powered development capabilities to your terminal, streamlining DevOps workflows while maintaining security and privacy by design.
Integrating Generative AI Into DevOps Pipelines
Integrating generative AI into DevOps practices can benefit an organization’s business processes. This article addresses the advantages, obstacles and opportunities concerning blending and integrating generative AI with DevOps.
DeepSeek Disrupts AI Market With Off-Peak Pricing Model
In a strategic move that could reshape the economics of artificial intelligence (AI) development, Chinese AI startup DeepSeek introduced discounted off-peak pricing for developers looking to use its AI models.
Gemini Code Assist Goes Free: What DevOps Teams Need to Know About Google’s AI Coding Tool
Google launches free version of Gemini Code Assist with 90x more completions than competitors, offering AI-powered coding and GitHub reviews for individuals and teams.
AI in Software Development: Productivity at the Cost of Code Quality?
New research analyzing 153 million lines of code reveals AI tools may accelerate development but potentially at the expense of maintainable, quality code.
New Relic Infuses Additional AI Capabilities into Observability Platforms
New Relic today added more than 15 additional capabilities to its observability platform, including retrieval augmented generation (RAG) tools, which are all enabled to one degree or another by artificial intelligence (AI).
AI-Powered DevOps: Transforming CI/CD Pipelines for Intelligent Automation
The key selections of AI/ML integration in CI/CD pipelines assist through automating test cases, predictive analytics and self-healing principles, each helping to achieve a higher scope of proficiency in the required dimension for individual segments.
AI Coding: New Research Shows Even the Best Models Struggle With Real-World Software Engineering
New OpenAI research reveals that frontier AI models like Claude 3.5 and GPT-4o solve fewer than half of real-world software engineering tasks from a $1M benchmark.
Five Great DevOps Job Opportunities
The five DevOps job opportunities posted this week are all engineer roles and companies include Costco wholesale and Northrop Grumman.
Sawmills Emerges From Stealth to Apply AI to Managing Telemetry Data
Sawmills today emerged from stealth to launch a platform that makes use of artificial intelligence (AI) models to manage telemetry data more cost-effectively.
Boost Your Website Core Web Vitals Through DevOps Best Practices
Core Web Vitals are critical for online success. Discover how DevOps practices improve your website’s Core Web Vitals to enhance user experience and rankings.
Empower Developers to Preserve Human Agency in Today’s World of Automation
A pressing issue facing the tech industry is how to strike the right balance between humans and technology regarding AI.
AI Coding Assistants are Not the Solution You Think
That’s when the true potential of AI can be realized when the industry shifts focus from simply accelerating coding time to improving the way engineers access and manage the information they rely on to do their jobs.
Training IT Teams for Multi-Cloud DevOps Environments
A multi-cloud approach can also benefit development and operations (DevOps) teams if they have the training and skills necessary to maximize multi-cloud potential.
StackGen’s New Migration Engine: A DevOps Game-Changer for Multi-Cloud Transitions
StackGen introduces automated cloud-to-cloud migration capabilities, eliminating manual infrastructure work while maintaining security and compliance. Here’s what DevOps teams need to know.
AWS Extends AI Agent Reach into the Realm of Testing Code
AWS has extended the reach of its generative artificial intelligence (AI) agents for developers into the realm of application testing.
Digma Adds Ability to Predict Coding Issues to Observability Platform
Digma this week added a predictive analytics capability to its observability platform that makes it possible to identify issues before code is added to a production environment.
The Future of AI Development is Global: Building World-Class Teams Across Borders
As artificial intelligence (AI) continues to transform software development, companies face a critical challenge: How to build and maintain world-class AI development teams while managing costs and ensuring quality.
How Continuous Learning Fuels Successful DevOps Teams
Continuous learning can enhance staff skills to make the most of DevOps frameworks and help developers streamline key processes to reduce total stress.
DevOps Evolution: From Movement to Platform Engineering in the AI Era
Dynatrace’s Andi Grabner discusses how DevOps is transforming through platform engineering and AI-driven automation to scale best practices and reduce friction.
Breaking Down Testing Barriers: How Observability is Bridging Dev and Ops
Tricentis’s Bryan Cole discusses how AI-powered observability and continuous testing transform the relationship between development and operations teams.
What are the Key Challenges in Mobile App Testing?
Testing mobile applications (apps) is a crucial process used to ensure that an app is fit for use, effective and free of defects.
Your Test Data Service is Outdated – Here’s Why (And What to Do About It)
Outdated test data practices continue to hold back organizations, creating bottlenecks in delivery and compromising software quality.