DevOps & SRE
DevOps & SRE news — Tuesday 13 October 2026
9 stories from 4 sources, every one in English. Each links to its publisher.
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GitHub’s model for secret detection: Finding more secrets with less noise
GitHub Blog
OUR PIPELINE VS. THE PREVIOUS LLM PIPELINE Smarter secret scanning, at a fraction of the cost 11.5% higher acceptance Owner-weighted alert precision 86% lower median scan execution time <p data-sanitized-class="ghdiagram-h
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The Craft of Practitioner Voice
Martin Fowler
A couple of months ago Jim Highsmith explained how practitioners writing for each other forms a distinct style of writing. He now adds a section to the article with more detail on the craft of how we write in this style. How the writer…
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Are Harnesses Worth the Cost?
Martin Fowler
Naresh Jain compares coding agents building the same API service with and without a behavioral harness. A frontier model, GPT-6 Sol, passed every external evaluation either way. But a cost-optimized model, GPT-6 Luna, succeeded in only 3…
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Scaling Git for the agentic software factory
GitLab Blog
AI agents are fundamentally changing the economics of software development. As the cost of producing code falls, the volume of changes moving through the software factory is accelerating beyond what infrastructure designed for human…
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Make every AI credit count: See, cap, and reduce agent spend
GitLab Blog
Costs multiply with every task you hand to an agent. Each task consumes tokens and credits, and as agents spread across your teams and automations, consumption can grow faster than usage. If you run the platform, you own that growth…
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Scaling Git for agentic software engineering
GitLab Blog
In a recent engineering blog post , Anthropic described how agentic coding pushed its source control past what Git was designed for: Merges to its monorepo grew from around 2,500 a day in May to more than 30,000 a day by September. Its…
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GitLab's agent orchestration eliminates the wait between development stages
GitLab Blog
AI coding tools have changed how fast software gets written, but not how fast it ships. As code generation accelerates, the bottleneck moves downstream into verify, review, and ship. Those stages still run on human time. While agents write…
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What’s old is new: Lightwell discovers novel zero-day vulnerability in core Java framework
Red Hat Blog
Enterprise IT runs on decades-old foundational code. The prevailing assumption around these mature components is that if code has been sitting untouched in production for ten years without breaking, it must be safe. Libraries like the…
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How AI is defining the ‘new’ architect
Red Hat Blog
For decades, enterprise architecture focused on diagrams and system designs. Today, AI and autonomous agents are shifting the paradigm by automating technical execution—generating code and infrastructure in minutes. Thinking ahead to the…