DevOps Practice
Tricentis Acquires Tabnine to Gain Knowledge Graph for AI Testing Agents
Tricentis today revealed it is acquiring Tabnine to gain access to a knowledge graph that will be used to provide context to AI agents that have been trained to automate a range ...
DevOps Is Drowning in Updates—and Engineering Is Paying the Price
Alex Vakulov | | cloud operations, devops, devsecops, information overload, platform engineering, site reliability engineeringDevOps used to be a manageable rhythm: several core tools, a handful of respected blogs, and a few incident write-ups that made everyone slightly uncomfortable in a useful way. Now it feels ...
CodePen 2.0 Turns a Design Playground Into a Real Deployment Tool
Tom Smith | | browser coding, browser-based IDE, Cloud development environment, Cloud IDE, CodePen, CodePen 2.0, CodePen Projects, custom domains, developer tools, devops, file-based projects, front-end development, one-click deployment, production deployment, real-time collaboration, shadow infrastructure, version history, web developmentCodePen 2.0 transforms the front-end playground into a file-based development platform with collaboration, version history and one-click deployment ...
AI Moved the Bottleneck From Writing Code to Understanding and Trusting It
Ted Julian | | AI code generation, AI code security, AI coding tools, AI investment ROI, AI-generated code, application security, automated code review, code quality, code review, codebase visibility, compliance, dependency risk, developer productivity, devsecops, Engineering leadership, engineering metrics, engineering ROI, production incidents, pull request review, SCA, software composition analysis, software delivery, software development productivity, software governance, technical debtAI coding boosts velocity, but without stronger review, governance and codebase visibility, teams risk higher costs, security gaps and production failures. TL;DR ...
Block Details Builderbot Framework for Orchestrating AI Agents Across SDLC
The software engineers at Block have developed an orchestration layer they are using to manage artificial intelligence (AI) agents that have been trained to automate multiple tasks across their software development lifecycle ...
Most Outages Don’t Announce Themselves
Many outages never announce themselves as outages. They show up as rising latency or an error rate that creeps from 2% to 4% over an afternoon while everyone's busy with something else ...
Reliability Comes From the System, Not the Agent
Andrew Filev | | AI agent reliability, AI agents, AI Governance, Enterprise AI, Operational Excellence, workflow designOne of the most common questions executives ask right now sounds straightforward: is the agent reliable enough yet? It feels like the right place to start, but the framing quietly points people ...
Harness Adds Autonomous AI Agents to Automate DevOps Workflows
Harness today is providing DevOps teams with an ability to build and deploy autonomous artificial intelligence (AI) agents that automate the delivery of code to production environments. Trevor Stuart, a senior vice ...
AI Coding Costs Could Exceed Developer Salaries, Gartner Warns
Enterprises rapidly adopting AI coding assistants may eventually face an unexpected financial reality: the AI tools could cost more than the developers using them. According to new research from Gartner, spending on ...
Survey: More AI Code Running in Production Environments with Caveats
A global survey of 309 software engineering leaders, published today, finds 81% of organizations have to some degree reworked development and release processes to accommodate code generated using artificial intelligence (AI) coding ...
Survey Surfaces Rise in IT Incidents Attributable to AI Coding Tools
A survey of 406 IT decision makers at organizations with more than 250 employees in North America finds 93% have experienced at least one infrastructure incident caused by reliance on artificial intelligence ...
How AI Is Transforming DevOps and Cloud Engineering
While AI is often associated with chatbots or generative models, one of its most significant impacts is happening behind the scenes — within DevOps and cloud engineering ...
