
Coding Agents Broke Git’s Scaling Math. GitHub Is Rebuilding to Keep Up
GitHub is rebuilding its Git infrastructure as AI coding agents drive billions of commits, promising up to 35x faster writes while exposing new DevOps bottlenecks.

HackerOne Report Surfaces Massive Increase in Vulnerability Backlogs
HackerOne research shows vulnerability remediation is getting faster, but AI-driven discovery is expanding exposure debt even more quickly, putting DevSecOps teams under growing pressure.

Federated Query at Petabyte Scale: A Deployment Pattern for a Governed AI-Agent Data Layer
A federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access.

DevOps Dozen 2026 Nominations Are Open: Recognizing the People and Technology Moving DevOps Forward
When we launched the DevOps Dozen in 2015, we wanted to recognize the people, projects and companies helping this community move forward. We saw the work happening across DevOps every day at DevOps.com. The awards gave our readers a chance to tell us who deserved recognition. Eleven years later, there is a lot more ground […]

Introducing Futurum Media: Why Futurum, Why Now?
Techstrong, Tech Field Day and Visible Impact come together, backed by the research, intelligence and expertise of The Futurum Group.

env zero Previews Control Plane for Agentic DevOps Workflows
env zero’s EZ Control introduces an agentic DevOps control plane that detects infrastructure drift, applies policy-driven remediation and keeps automated changes attributable, reversible and auditable.

GitHub’s Security Autofix Agent Now Remembers What It Fixed
GitHub’s agentic autofix now uses Copilot Memory to reuse repository-specific security fix patterns, helping Copilot apply lessons from past vulnerabilities across future alerts, reviews and coding workflows.

Dependency Mocking Approach That Gets More Accurate as Your Services Deploy More Often
Traffic-based dependency mocking turns frequent upstream deployments into opportunities to refresh mocks from real behavior and reduce integration test drift.

Why Old Azure DevOps Releases Survive a Pipeline Cutover
Old Azure DevOps Classic releases can retain retired deployment tasks, Helm names, image paths and variables long after a pipeline cutover, leaving stale redeploy paths active.

TeamPCP Supply Chain Attack Leads to CrowdSec Source Code Being Stolen
CrowdSec says attackers stole source code from about 170 private GitHub repositories after a TanStack npm supply chain attack exposed an OAuth token tied to a former employee.

Cycode Extends DevSecOps Reach to Software Packages Developers Download
Cycode is adding workstation-level protection to stop developers and AI coding agents from downloading malicious or insufficiently vetted software packages.

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 […]

Why Your CI/CD Pipeline Is Your Most Unprotected Attack Surface
CI/CD pipelines often hold privileged credentials, execute third-party code and connect directly to production, making pipeline security one of the most overlooked risks in modern DevOps.

Can Rust Improve Real Django API Performance? Testing Django-Bolt Beyond Synthetic Benchmarks
Django-Bolt uses Rust to accelerate Django request handling, but real-world gains depend on database work, authentication, serialization and where an API actually spends its time.

Why MLOps Pipelines Need Security Audits
A practical SecMLOps experiment shows how Apache Airflow ML pipelines can adopt DevSecOps controls for secrets, validation, artifact integrity and auditable security evidence.

The Three Tiers of Agentic Incident Response: When to Trust AI Autonomy
A three-tier model for agentic incident response balances AI automation with human oversight, matching autonomy to risk, reversibility, blast radius and diagnostic confidence.

The Most Dangerous Reliability Failures Aren’t Component Failures
A production provisioning failure shows why reliability problems can emerge from interactions between healthy components, and how system-level constraints and feedback can prevent them.

GitHub Widens the Door on Advanced Security Trials
GitHub raised its self-serve Advanced Security trial cap from 100 to 300 licenses, letting more mid-size Enterprise Cloud orgs test for free.

Flaw in DeepSeek Harness AI Coding Tool Let Agents Disable Their Sandbox
News of the now-fixed vulnerability comes amid growing concerns that AI vendors do not in have complete control of their autonomous agents.

GitHub Puts Guardrails on Copilot’s Sandbox Inside JetBrains IDEs
JetBrains IDEs are where a lot of enterprise backend work happens — Java, Kotlin, Spring, big monorepos with a lot to break. So when an AI coding agent starts running shell commands inside that environment, the question isn’t whether it’s useful. It’s what happens if it touches the wrong file, the wrong network path, or […]

Rust’s First Debugging Survey Shows Most Developers Skip the Debugger Entirely
Most Rust developers don’t use a debugger. That’s the headline finding from the Rust compiler team’s first dedicated debugging survey, and it’s worth sitting with for a second. Rust has spent years building a reputation as the language that catches your mistakes before you ship them. The compiler is famously strict. The type system is […]

GitHub Quietly Fixes One of Dependabot’s Oldest Headaches
GitHub Dependabot can now authenticate to GitHub-hosted package registries without personal access tokens, reducing credential management and supply chain security risk.

Observability’s Gaslighting Problem: “Send Less Data” Isn’t a Strategy
A familiar pattern is emerging in observability conversations. As telemetry volumes grow and costs rise, the default recommendation is often to collect less data: Sample more, retain less, index selectively, filter earlier, and reduce cardinality until the economics become manageable. Some of this is reasonable. No system benefits from unlimited accumulation without curation. But when […]
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