Tag: CI/CD
Adoption and Fragmentation of AI in CI/CD—and Operational Readiness
In today’s enterprise software delivery environment, AI has moved from a distant possibility to an active area of experimentation across the CI/CD pipeline. The conversation around AI in software delivery often runs ...
These are 10 CI/CD Pipeline Mistakes That Slow Down Engineering Teams
Sandeep Kumar Khandelwal | | CI/CD, CI/CD pipelines, continuous delivery, continuous integration, devops, pipeline automationContinuous software delivery in the digital age has come to depend on CI/CD pipelines. They enable engineering teams to rapidly develop, test, and deploy code while keeping it highly usable and consistent ...
Harness Extends DevOps Reach to the Realm of AI Agents
Harness today extended the reach of its core continuous integration/continuous delivery (CI/CD) platform to enable DevOps teams to build and deploy artificial intelligence (AI) agents. At the core of that capability are ...
Why You Need AI Agent Security Validation in Software Testing
Engineering teams have been racing for the last two years to deploy AI agents that can find bugs faster than any QA team ever could. Autonomous testing agents can crawl through codebases, ...
How to Build a DevSecOps CI/CD Pipeline on Azure With GitHub Actions
Fix security problems when they’re cheap to fix, which is before the code is deployed. A pipeline that enforces this automatically is what makes that principle real ...
Shadow Mode Continuous Integration: The Missing Test Layer for AI Agents
Autonomous agents require CI/CD pipelines that evaluate behavior, not just artifacts. Containerized shadow mode gives platform teams a practical control point: Run the agent in an isolated Docker environment, replay realistic workflows, ...
Building CI/CD Pipelines for On-Prem Azure DevOps: What the Cloud Docs Don’t Tell You
The engineering that makes on-prem CI/CD reliable is invisible when it works. When it does not work, the failures are subtle and the documentation is thin ...
How AI is Revamping DevSecOps Processes
Umashankar Kotturu | | AI DevSecOps, CI/CD, devsecops, policy as code, security automation, Software Supply ChainArtificial Intelligence is pushing DevSecOps into a new phase where security is no longer just about detecting vulnerabilities, but increasingly about resolving them automatically within the flow of software delivery. As many ...
How Independent Service Deployments Expose the Limits of Conventional Regression Testing Tools
The architectural shift to independently deployable services was supposed to make software delivery faster and less risky. In many aspects, it has. Teams can ship a change to one service without coordinating ...
A Beginner’s Guide to CI/CD and CI/CD Pipelines
Modern software development moves at a pace that would have been unthinkable a decade ago. Organizations push updates on demand, respond to vulnerabilities within minutes, and integrate new features at a relentless ...
Lightrun Adds Ability to Assess Impact Pull Request Will Have in Production
Lightrun is providing early access to an ability to verify whether a pull request (PR) will actually run in a production environment as part of its artificial intelligence (AI) platform for automating ...
From Phishing to Vishing: Why DevSecOps Must Rethink Communication Security
Key Takeaways: Vishing is the new frontline threat: Attackers are shifting from emails to phone-based scams, using AI and social engineering to bypass traditional security controls. DevSecOps must expand its scope: Securing ...
