Black Duck Adds AI Agent to Triage and Fix Vulnerabilities
Black Duck this week added an artificial intelligence (AI) agent to its portfolio that triages vulnerabilities and then generates and validates fixes for DevSecOps teams to review before applying them. Patrick Carey, vice president of product marketing for Black Duck, said the Signal Agentic Fix agent leverages the company’s static application security testing (SAST) and […]
Endor Labs Adds AI Tool to Generate Fixes for Open Source Vulnerabilities
Endor Labs this week added an artificial intelligence (AI) tool to its portfolio that evaluates every reachable open source vulnerability against a code context graph to generate fixes that typically require only 10 lines of code to be generated and applied. Joe Harrington, a principal product manager for Endor Labs, said AURI Fix for Open […]
Two GitHub Campaigns, One Weak Point: Stolen Developer Credentials
Two separate GitHub attack campaigns, Gheist and Testmetest, exploited stolen developer credentials to steal secrets, compromise workflows and target software supply chains. The attacks reveal dangerous blind spots in GitHub Actions security, repository scanning and AI coding assistant configurations.
Amazon Warns Engineers Against Tokenmaxxing as AI Costs Mount
Amazon has issued new guidelines for its software engineers that discourage excessive use of AI tools simply to boost productivity metrics, signaling a shift in how the company evaluates AI’s contribution to software development. The guidelines address tokenmaxxing, a practice in which employees use huge volumes of AI tokens to demonstrate their use of the […]
Mistral Lays Claim to AI Coding Crown
Mistral has released the weights for its 1-trillion-parameter Mistral Large 4 model, delivering significant improvements in agentic coding and vulnerability discovery. With competitive benchmark results, lower token consumption and flexible deployment options, the French AI developer is making a stronger case for open-weight models as DevOps teams confront rising AI development costs.
The Return of a Bad Engineering Metric: When AI Token Usage Becomes Performance Theater
Measuring developer productivity by AI token consumption risks higher costs, bloated code and misleading performance metrics.
Why More AI-Generated Tests Don’t Mean Better Testing
Every demo from an AI testing tool vendor ends with a promise to cut test design effort from hours to minutes. Surprisingly, one important question is missing from these conversations: How many of those test cases can QA teams truly trust when testing a business-critical workflow such as payments? The AI Testing Efficiency Trap Many […]
From Reactive to Predictive: How AI and Automation Are Advancing Real-Time DevOps Decision-Making
AIOps helps DevOps teams cut alert fatigue, predict failures and improve incident response through AI-powered insights and smarter automation.
Design and Specifications Are Not What Is in Your Infrastructure
Cyber Asset Intelligence helps CTOs uncover hidden dependencies, reduce technical debt and make smarter architecture decisions with runtime visibility.
GitHub Adds Tools to Manage AI Coding Agents Running in Parallel at Scale
GitHub today made a bevy of updates that collectively promise to make it simpler for DevOps teams to build and maintain workflows using artificial intelligence (AI) agents. Announced at the GitHub Universe conference, Jay Parikh, executive vice president for CoreAI at Microsoft, also provided additional insights into the investments that Microsoft is making to ensure […]
Rethinking Application Updates: Solutions for Faster, More Efficient CVE Patching
Slow CVE patching leaves applications exposed. Discover how buildpacks, shared components and AI agents can accelerate vulnerability remediation.
CI/CD Cache Poisoning Is No Longer a Theoretical Attack
CI/CD cache poisoning can turn untrusted code into compromised releases. Learn how to secure caches, isolate workflows and protect software supply chains.
The Rise of Playwright: Why Browser Automation Had to Change
Playwright is transforming browser automation for modern CI/CD, but AI-generated tests raise new questions about reliability and trust.
I Spent 5 Years Preparing for UPSC. Then I Became a DevOps Engineer
After five years preparing for UPSC exams, a career switch to DevOps led from ₹13,000 a month to 16 LPA — and inspired a creation.
AWS Delivers AI Service to Discover Vulnerabilities and Generate Patches
Amazon Web Services (AWS) has made generally available a service through which it finds and validates code vulnerabilities and provides a patch that DevSecOps teams can then automatically apply or set up a pull request to implement. Dr. Neha Rungta, director of applied science at AWS, said the AWS Continuum service for code vulnerabilities is […]
Why Continuous Vulnerability Management Belongs in Every DevSecOps Strategy
DevSecOps is part of the larger shift-left IT paradigm, which aims to identify and address vulnerabilities before they lead to security incidents. NIST’s guidance on secure software development emphasizes integrating security throughout the development lifecycle, rather than treating it as a separate concern addressed late in development or after deployment. By prioritizing a proactive approach […]
Report: Claude Code Exceeds GitHub Copilot for Merging Pull Requests
An analysis of pull requests published today by Jellyfish, a provider of an engineering intelligence platform, finds that Claude Code is the artificial intelligence (AI) coding tool used most often to merge pull requests (31%), followed by GitHub Copilot at 23%. Based on analysis of 100 million pull requests made in September by 276,000 developers […]
One Build, Ten Locales: How We Bake Translations at Compile Time Instead of Resolving Them at Runtime
For applications supporting multiple languages, localization architecture can dramatically affect build times, bundle sizes and caching. This technical deep dive explores why one development team chose a custom webpack plugin to compile once, inline translations and generate locale-specific bundles without runtime translation overhead.
Gheist Hackers Abuse GitHub Tokens to Steal Repository Secrets
The evolving Gheist campaign uses stolen GitHub tokens and malicious Actions workflows to extract repository secrets and cloud credentials. While GitHub protections have blocked observed attacks on public repositories, private environments remain exposed.
Reddit’s r/opensource AI Ban Targets the Wrong Problem
Reddit’s largest open-source community is cracking down on AI-generated projects, prompting criticism over sweeping restrictions that could exclude legitimate developers. As Linux takes a different approach, DevOps teams face a more important question: How can they enforce code quality and accountability without banning the tools developers use?
AI Made Building Apps Easy, but Who Really Runs Them?
A few months ago, a product manager at an agency reached out to us. They had built a client reporting app over a weekend using an AI coding tool and made it live so customers could try it. It worked great until we found that authentication was broken and the app’s admin interface was accessible […]
Ten Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of […]
What Session-Level Tracing Taught Me About LLM Applications
I work on observability tooling for LLM-backed applications and the thing that surprised me most wasn’t a technical problem; it was how confidently wrong these systems can be while every dashboard stays green. Here’s a scenario that makes the point concrete. The Call That ‘Succeeded’ Picture an AI phone agent handling insurance calls. A customer […]