AI
Opsera Report Highlights DevOps Challenges Created by AI Coding Tools
An analysis published today by Opsera, a provider of a DevOps platform, finds that while adoption of artificial intelligence (AI) coding tools has increased developer productivity they also create more duplicate code, ...
Open-Source Coding Agents Just Got Accessible
Tom Smith | | AI code generation, Ai2, coding agents, developer productivity, fine-tuning LLMs, NVIDIA Hopper GPUs, open-source AI, repository-aware AI, SERA coding agents, SWE-Bench VerifiedAi2’s open-source SERA coding agents slash the cost of training repository-aware AI, enabling teams to customize high-performance coding agents on private codebases for as little as $400 ...
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 ...
Anthropic Adds Automated Security Reviews to Claude Code
Tom Smith | | AI code security, CI/CD, devsecops, GitHub Actions, secure coding, security review, shift left security, vulnerability detectionAnthropic pulls security into the inner dev loop with new Claude Code tools that scan for vulnerabilities in the terminal and on every pull request—before insecure code ever ships ...
The Four Knobs of AI Agent Reliability: A DevOps Perspective
AI agents aren’t chatbots—they’re systems that act. This guide cuts through the hype to show how DevOps teams can configure, trust, and run AI agents reliably in production ...
Codenotary’s Free SBOM Service Tackles the AI Software Supply Chain
Just because AI is writing your code doesn't mean you can stop worrying about software bills of materials. While the quality of AI coding remains open to debate, there's no question that ...
Futurum Group Survey Sees Increasing Investments in AI to Deliver Software
A global survey of 628 enterprise IT leaders conducted by the Futurum Group finds that increasing investment in generative artificial intelligence (AI) (40%), followed closely by AI and machine learning (ML) technologies ...
Stop Worshipping ‘Global Availability’: A Practical SLI/SLO Bucketing Playbook
Parthiban Rajasekaran | | alert fatigue reduction, availability metrics, bucketed SLIs, DevOps observability, engineering reliability strategy, reliability metrics, site reliability engineering, SLI SLO best practices, SRE monitoringGlobal availability hides real failures. Learn why bucketed SLIs give a truer picture of reliability—and how SRE teams can align alerts with real business impact ...
AWS Sage: Your AI Assistant’s Gateway to the Cloud
Arun Sanna | | AI cloud operations, AWS automation, cloud observability, cross-service intelligence, dependency mapping AWS, DevOps AI assistants, incident investigation AI, MCP Server, Model Context ProtocolAWS Sage is an open-source MCP server that gives AI assistants unified, intelligent access to AWS with cross-service discovery, dependency mapping, impact analysis, and automated incident investigation ...
Autoptic Unfurls AI Change Resilience Agents to Analyze Telemetry Data
Mike Vizard | | AI for DevOps, AI incident detection, change resilience agents, DevOps observability, DevOps telemetry analysis, OpenTelemetry DevOps, production incident prevention, root cause analysis AIAutoptic launches AI-powered change resilience agents that analyze DevOps telemetry to detect root causes, prevent incidents, and boost confidence before production changes ...
Testlio Adds AI Tool to Generate Dashboards on App Testing Service
Mike Vizard | | AI hallucination detection, AI-assisted QA, AI-powered application testing, DevOps quality assurance, DevOps testing guardrails, managed testing services, software testing analyticsTestlio enhances its testing platform with AI-generated dashboards that correlate over 100 signals, helping DevOps and business leaders spot quality, risk, and AI-related issues faster ...
DevOps Didn’t Fail — We Just Finally Gave it the Tools it Deserved
Alan Shimel | | AI in DevOps, Cultural Change, devops evolution, DevOps Success, feedback loops, observability, software reliability, tech industry debateCharity Majors delivers a wake-up jab to DevOps, sparking debate on its evolution and success. Is it a failure or just getting interesting? Alan dives into the discussion ...
