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DevOps & Platform Engineering

Dependency Firewall: Block risky packages before the build

GitLab
Linked source · GitLab Blog
From the source: GitLab Blog

Attackers disguise malicious packages as ones you trust. In June 2026, GitLab researchers found five malicious PyPI packages , four of them typosquats of Flask, Requests, and NumPy, that run at install time and steal CI/CD credentials. Additionally, AI coding agents now add open source dependencies on their own, often unreviewed, so developers don't have oversight into what packages may…

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Originally published by GitLab Blog on 6 Oct 2026. Techarda links to the original rather than republishing it. Read the full article →

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Three developer tasks worth handing to an agent

You already have an AI assistant. It completes your code, explains code you didn’t write, and maybe even drafts a whole feature while you sip your coffee. An agent on GitLab picks up where your editor stops. The AI in your editor only knows what's open in your editor. It doesn't know that your merge request has been sitting in the queue for two days, or that your pipeline failed for the third…

GitLab·via GitLab Blog
DevOps & Platform Engineering

Building AI security in the open

When code becomes abundant trust becomes scarce. That is the argument GitLab CEO Bill Staples made in his recent essay : AI is collapsing the cost of producing software, and everything around production, including context, verification, governance, and evidence, becomes proportionally more important. Both security and collaboration are key elements to producing trust. AI widens what has to be…

GitLab·via GitLab Blog
DevOps & Platform Engineering

Get every merge request in front of the right reviewer, faster

The code is written. Now who reviews it? The volume of code has never been greater, but delivery hasn’t kept pace. At Meta, code changes on internal platforms grew 220% year over year, while changes that reached users as new features grew only 36% ( Reuters , August 2026). Every one of those changes has to clear review before it reaches users. Automated review absorbs much of that load. Code…

GitLab·via GitLab Blog

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