MLOps for Green AI: Building Sustainable Machine Learning in the Cloud
Enter MLOps for Green AI: A fusion of machine learning operations (MLOps) and sustainable DevOps practices that promise to make AI not just smarter, but greener.
Heroku Extends PaaS Reach to AI Application Development
Heroku, a subsidiary of Salesforce, is piloting support for inference capabilities within its platform-as-a-service (PaaS) environment in addition to tightening the level of integration it provides with artificial intelligence (AI) agents developed by its parent company.
GitHub Brings Together Security, Developers to Fix Code Flaws
GitHub is linking developers with security pros to reduce the number of vulnerabilities that may be hiding in code that already is in workflows. The highly popular Microsoft-owned code repository this week said its security campaigns, which were released in public preview in October 2024, are now generally available to GitHub Advanced Security and GitHub […]
Google Adds Raft of AI Agents and Platforms to Automate Software Development
Google this week previewed a bevy of artificial intelligence (AI) agents and platforms that enable application developers and the DevOps teams that support them to automate a wide range of software engineering tasks.
Atlassian Adds Bevy of AI Agents Across Software Development Lifecycle
Atlassian today added a series of AI agents that are specifically trained to automate a range of software engineering tasks.
env0 Adds AI Agents to IaC Platform for Automating Cloud Infrastructure Management
env0 this week added at the KubeCon + CloudNativeCon Europe 2025 conference an artificial intelligence (AI) agent to its platform for automating the management of infrastructure-as-code (IaC) workflows using open source Terraform tools.
The Observability Blind Spots That Could be Costing You Your Best Customers
The future of observability isn’t just about collecting more data; it is about truly understanding what is happening at the most granular level and fixing issues before they cost you your biggest customers.
AWS Brings Generative AI Capabilities to OpenSearch Service
Amazon Web Services (AWS) today revealed it is streamlining IT incident management by adding generative artificial intelligence (AI) capabilities to the Amazon OpenSearch service. Widely used to troubleshoot IT incidents involving AWS cloud computing environments, the generative AI capabilities are being provided via integrations with Amazon Q Developer, a set of AI agents that automate […]
Blending AI and DevSecOps: Enhancing Security in the Development Pipeline
Exploring how businesses can secure their development pipelines by integrating AI into DevSecOps and adopt a more proactive approach.
Streamlining App Development with Gemini’s New Canvas Feature
Gemini’s new Canvas feature transforms app development workflows with real-time collaboration, code preview capabilities and seamless prototyping for developers of all skill levels.
Futurum Research Report Surfaces Increasing DevOps Adoption of AI
A survey of 855 IT decision-makers conducted by The Futurum Group finds artificial intelligence (AI) is increasingly being viewed as playing a critical role in the development and deployment of software.
Eclipse Foundation to Release Open Source IDE Infused with AI Agents
The Eclipse Foundation today made available an alpha release of an instance of its open source Theia integrated development environment (IDE), that provides access to artificial intelligence (AI) agents that will automate a wide range of coding tasks on behalf of application developers.
Operations, Code or Die
Panelists at the recent Cloud Field Day event anticipated during the Delegate Roundtable conversation that soon artificial intelligence (AI) would take over coding, making the primary skill, the ability to articulate requirements to AI.
Intelligent Apps & Developer Platforms: The Complete Guide
Intelligent applications transform how we interact with technology, beyond traditional software to create intuitive and efficient systems.
HashiCorp Focuses on Integration Following IBM Acquisition
Now that IBM has completed the acquisition of HashiCorp the focus will now shift toward integrating the various DevOps tools, frameworks and platforms the combined companies provide to securely automate the development and deployment of software.
Opus Security Platform Assigns DevSecOps Tasks to AI Agents
Opus Security today unveiled a platform that employs artificial intelligence (AI) agents to its vulnerability management platform that are trained to discover known issues and suggest remediations.
Managing AI APIs: Best Practices for Secure and Scalable AI API Consumption
By adopting a structured AI API management strategy, organizations can harness AI’s full potential while maintaining security, compliance and efficiency.
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.
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.