AI
How to Eliminate DevOps Toil Using Automation Scripts
Durojaye Olusegun | | 15-minute rule, ansible, automation best practices, automation documentation, automation framework, automation ROI, automation scripts, automation testing, automation validation, CI/CD optimization, developer productivity, DevOps efficiency, DevOps maintenance, DevOps time savings, devops toil, DevOps workflows, eliminate toil, engineering automation, engineering productivity, fail-safe scripts, idempotent scripts, infrastructure automation, manual task reduction, observability in scripts, orchestration vs scripting, reduce manual DevOps work, repetitive task automation, script automation, TerraformEngineering teams spend nearly 15 hours a week on repetitive DevOps toils that drain productivity. This guide explains how to identify high-impact automation opportunities, apply the 15-minute rule, and build sustainable script-based ...
Atlassian Makes AI Coding Agent Generally Available
Mike Vizard | | AI code review, AI coding agent, AI DevOps tools, AI for software development, AI in CI/CD, AI project planning, AI software orchestration, Anthropic MCP, Atlassian AI, Atlassian Compass, Atlassian Team 25, devops automation, DX engineering metrics, Jira integration, Model Context ProtocolAtlassian launches Rovo Dev, an AI coding agent for writing, reviewing, and planning code, bundled with Bitbucket, Compass, and DX in the new Software Collection ...
Coding Agent Teams: The Next Frontier in AI-Assisted Software Development
Derek Ashmore | | agent-based programming, agentic AI, AI code generation, AI coding agents, AI developer tools, AI development frameworks, AI DevOps, AI in software engineering, AI pair programming, AI programming teams, AI-assisted software development, AutoGen, autonomous coding agents, Claudeflow, coding agent frameworks, coding automation, collaborative AI agents, CrewAI, developer productivity, generative AI for developers, intelligent coding assistants, MetaGPT, multi-agent AI teams, multi-agent orchestration, OpenCode, software development automationDevelopers are moving beyond single AI coding assistants to teams of specialized agents, boosting speed, scalability, and collaboration in software development ...
Whose Ops is it Anyway? How IDPs, AI and Security are Evolving Developer Culture
Olivier de Turckheim | | AI and ML workloads, AI in DevOps, AI infrastructure, AI-driven operations, AIOps, automation in DevOps, continuous delivery, Cycloid plug-ins, developer experience, devops culture, devops evolution, DevOps scalability, DevOps security integration, DevOps transformation, devsecops, digital transformation DevOps, gitops, IDP, intelligent automation, internal developer platforms, MLOps, modern DevOps strategy, operational resilience, platform engineering, platform governance, secure CI/CDIt was only a few years ago that perhaps the biggest hurdle for DevOps advocates was convincing leadership that it was worth the investment. That conversation has since shifted. In most organisations ...
Gemini CLI Extensions Bring Customization to the Command Line
Tom Smith | | AI command-line tool, AI for developers, AI-powered CLI, CI/CD Automation, command-line AI integrations, developer productivity tools, devops, devops automation, Google AI developer tools, MCP, Model Context Protocol, software development toolsGoogle’s Gemini CLI extensions framework enables developers to integrate external tools like Figma, Stripe, Postman, and Dynatrace directly within the terminal. Built on the Model Context Protocol (MCP), the system reduces context ...
Developer Experience: Overcoming 6 AI-Induced Challenges
Yaniv Sayers | | AI challenges in DevEx, AI in software development, AI model, AI productivity, AI tool fragmentation, AI trust issues, cognitive overload, developer experience, devex, explainable AI, hybrid AI architecturesThe use of artificial intelligence brings high hopes and expectations in the technological world, promising changes to the way businesses operate. A staggering 79% of companies are now or will be using ...
Spacelift Adds Open Source AI Vibecoding Tool to Provision Infrastructure
Spacelift today unfurled an open source agentic artificial intelligence (AI) framework for managing infrastructure that eliminates the need for a developer to write any Terraform or OpenTofu code. Marcin Wyszynski, chief research ...
How Can the Usage of AI Help Boost DevOps Pipelines
Joydip Kanjilal | | AI for testing automation, AI in CI/CD, AI in DevOps, AI in software development, AI-based DevOps tools, AI-driven CI/CD pipelines, AI-driven software delivery, AI-powered CI/CD, automated security testing, continuous deployment, continuous integration, devops automation, devsecops, Future of DevOps, intelligent automation, intelligent DevOps pipelines, machine learning in DevOps, predictive DevOps, Self-Healing Pipelines, smart deploymentsAI is revolutionizing DevOps by making CI/CD pipelines smarter, self-learning, and more efficient — enabling faster, secure, and automated software delivery ...
Shortcut Adds AI Agent to Orchestrate Management of Software Development Projects
Mike Vizard | | AI agents for software development, AI in project tracking, AI project management, AI-powered product management, devops automation, Jira alternative, natural language to project plans, software engineering productivity, workflow orchestrationShortcut this week added an artificial intelligence (AI) agent that is capable of orchestrating the planning, tracking and coordination of software projects. Company CEO Kurt Schrader said the Korey agent takes ideas ...
Why Automation Fails Without the Right QA Mindset
Imtiaz Shaik | | CI/CD Automation, continuous testing, devops best practices, DevOps Testing, Exploratory Testing, human-in-the-loop QA, QA mindset, QA vs automation, quality assurance strategy, regression testing, risk-based testing, shift-left testing, software quality, test automation, test maintainability, user experience testingIn the DevOps world, with its faster release cycles and continuous delivery, quality assurance (QA) cannot be sidelined until the end of the process. Companies that actively use automation achieve up to 60% faster ...
ControlMonkey Adds AI Agents to Infrastructure Automation Platform
ControlMonkey today added artificial intelligence (AI) agents to its infrastructure automation platform that promise to make it simpler for almost any developer to securely provision infrastructure as code (IaC). Company CEO Aharon ...
Survey Surfaces Downstream DevOps Challenges Created by AI Code
A survey of 900 engineers, platform leaders and technical managers published today finds nearly two thirds (63%) report their organization is shipping code faster since adopting artificial intelligence (AI). Conducted by Coleman ...
