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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

AI fatigue: what happens when product teams can't keep up with their own agents

For the past two years, the conversation around AI in software engineering has focused on one thing: productivity. Engineers are shipping faster, writing more code, and completing work in hours that once took days. Every new model promises another leap forward. What gets far less attention is what all that speed demands from the people using it. Guillaume Moigneu, Field CTO at Upsun, has spent the past year watching engineering teams adapt to AI-assisted development.

Keeping Critical Infrastructure Running Smoothly

In modern business operations, any system failure can cascade into significant downtime and financial loss. Keeping critical infrastructure running smoothly is not just an IT concern; it's a core business function that ensures continuity, security, and efficiency. This involves maintaining everything from the data centers that power your digital services to the physical machinery that moves your products.

Two confident fixes missed this production bug

Every new signup posts a message to our Slack. The format is dull and reliable: Overnight this week one arrived like this: That trailing nothing was the entire incident. No error logs, no alerts. A returning user had signed up, our signup service had attached them to a tenant we deprovisioned back in December, and the only symptom in the whole company was a Slack message that ran out of words.

Cortex | Enhanced Filters in Engineering Intelligence

Filtering in Engineering Intelligence just got a lot more precise. In this Feature Friday, Principal Product Manager Christine Byun walks through the enhanced filters now live across the platform, using PR cycle time in the Data Explorer as an example. What's new: Try it out in Engineering Intelligence today.

Agentic AI in the Data Center: What It Really Means, and Why Security Has to Come First

Agentic AI means a system that acts on behalf of a specific person, within that person’s exact role and access permissions — not a general term for “smart” software. In data center infrastructure, agentic AI only becomes safe to deploy once three things already exist: a complete monitoring pipeline, an analytics pipeline, and a control pipeline governed by strict role-based access control.

Building with AI: Our Approach to Responsible Agentic Development in Open Source

The tech world has been building up towards the shift to a fully agentic development life cycle for a few years now. AI is changing how software gets built. Across the Puppet ecosystem, we’re seeing a shift toward more agentic engineering workflows. AI helps generate code, shape documentation, and accelerate how Puppet modules evolve.

Agentic Pipelines | Bitbucket Blitz | Atlassian

Most CI/CD pipelines are fragile bash scripts that break when things change. What if your pipeline could think? Agentic Pipelines lets you add AI agents as steps in Bitbucket Pipelines. In this video, I show an agent that reads a design spec from Confluence, generates frontend code, runs tests, and opens a PR, all inside a pipeline. With Agentic Pipelines, Bitbucket goes from a CI/CD platform to a full workflow and automation engine you can use far beyond builds and deploys.