Tag: CI/CD pipelines
AI Agents in CI/CD Pipelines: Speed vs Control in Modern DevOps
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There ...
AI Agents in DevOps: Hype vs. Reality in Production Pipelines
The demos look super cool! An AI agent detects a failing deployment, rolls it back, opens a GitHub issue, and notifies Slack — all before the on-call engineer has finished reading the ...
Agentic CI/CD is Not Automation: Why the Distinction Will Define DevOps in 2026
Muhammad Yawar Malik | | agentic AI, AI in DevOps, automation vs ai, CI/CD pipelines, DevOps governanceThere is a dangerous conflation happening across our industry right now. Teams are plugging LLM-powered agents into their deployment pipelines, calling it "agentic CI/CD," and treating it as the next logical step ...
How AI is Shaping Modern DevOps and DevSecOps
AI is reshaping DevOps and DevSecOps by improving CI/CD workflows, DORA metrics and security without adding unnecessary complexity ...
Two Malicious npm Packages Aim to Steal Credentials and Other Secrets
Jeff Burt | | API Keys, CI/CD pipelines, credential theft, Data Exfiltration, exposed secrets, GitHub repositories, maintainer account, malicious npm packages, sonatypeBad actors took over a npm maintainer account and have published two malicious packages designed to steal credentials, API keys, and other secrets from the computers of victims who download them from ...
The Future of AI in Software Quality: How Autonomous Platforms are Transforming DevOps
Igor Kirilenko | | agentic AI, CI/CD pipelines, devops automation, software quality, static analysisAgentic AI is transforming DevOps by embedding autonomous quality checks into CI/CD pipelines, improving code security, coverage and speed ...
What a ‘Good Plan’ Really Means for AI Coding Agents
Michael Parker | | Agile methodologies, AI coding agents, application delivery, CI/CD pipelines, coding efficiency, context retention, continuous improvement, Engineering best practices, error management, modernization, planning in development, software development, task execution, validation processesExplore how AI coding agents are transforming software development. This article discusses the importance of clear objectives, runnable tasks, and continuous validation in planning to ensure that the transition from idea to ...
Tool Fragmentation is Breaking Delivery Context — Here’s What Teams are Learning
Arul Watson | | access control, application security, automation, CI/CD pipelines, Cloud Security, credential exposure, Cybersecurity, devsecops, incident response, risk management, secrets management, security best practices, supply chain security, token managementExplore the emerging crisis in application delivery caused by tool fragmentation in modern software development. This article discusses the need for semantic interoperability, context preservation, and a shift from linear pipelines to ...
Secrets Management Failures in CI/CD Pipelines
Johnbosco Ejiofor | | access control, application security, automation, CI/CD pipelines, Cloud Security, credential exposure, Cybersecurity, devsecops, incident response, risk management, secrets management, security best practices, supply chain security, token managementExplore the critical role of secrets management in CI/CD pipelines and its impact on cybersecurity. This article highlights the risks of credential exposure, the importance of implementing strong security practices, and how ...
Why Responsible AI Isn’t Optional in DevOps — it is the Next Frontier of Ownership
Sundeep Bobba | | accountability, AI in DevOps, automation, CI/CD pipelines, decision-making, governance, leadership, organizational commitment, responsible AI, trust in technologyThe integration of AI in DevOps brings both opportunities and accountability challenges. This article explores the implications of AI decision-making within CI/CD pipelines and emphasizes the need for governance frameworks to ensure ...
Why Responsible AI Isn’t Optional in DevOps – It’s the Next Frontier of Ownership
Sundeep Bobba | | AI accountability, AI automation risks, AI decision-making, AI in DevOps, CI/CD pipelines, DevOps governance, DevOps Leadership, explainable AI, responsible AI, software delivery trustAs AI takes on decision-making roles inside CI/CD pipelines, DevOps teams face a new challenge: Accountability. This article explores why responsible AI governance is now a core DevOps responsibility and a leadership ...
Establishing DevOps for Mainframe Applications
Debashis Bhattacharyya | | CI/CD pipelines, DevOps mainframe, Endevor Git integration, enterprise devops, Jenkins mainframe, legacy application modernization, legacy modernization, mainframe automation, mainframe CI/CD, mainframe DevOps, mainframe security, Zowe CLIMainframes don’t have to block DevOps. Learn how extending CI/CD, Git, and security scanning to mainframe applications modernizes delivery without replacing mission-critical systems ...
