Can AI Actually Find the Root Cause? Automating Postmortems and RCA
What automation reliably contributes to a post-incident review, what it cannot, and how to run retrospectives that produce fixes instead of documents.
AI Blog
Could 2027 be the year you turn off human-in-the-loop remediation?
Installing and configuring a reliability platform is already code. The agents already have the context. The only step still gated on a human is the change itself — here is what would have to be true to ungate it.
Do AI SRE Agents Actually Work? An Honest Capability Assessment
What AI SRE agents reliably do today, what they still get wrong, and how to evaluate a vendor claim without taking the demo at face value.
What Doom taught us about AI-assisted incident response
We built Doom Agent Arena, an open-source benchmark where AI agents battle in Doom via MCP. Here's what it taught us about AI-assisted incident response.
Our AI has never gotten an incident timeline wrong.
Brent Chapman argues that AI-written post-incident reviews quietly automate away the learning. We build the AI that drafts them.
Claude Sonnet 4.6: Benchmark Results and Lessons for AI SRE
Anthropic released Claude Sonnet-4.6, and we ran it through SRE-skills-bench the same day. It tests models on the tasks SREs actually do: understanding infrastructure code, reasoning about cloud configurations, and mapping code diffs to real-world pull requests.
The Complete Guide to AI SRE: Transforming Site Reliability Engineering
AI SRE brings AI to incident response, root cause analysis, and remediation, reducing on-call load and improving reliability outcomes for teams.
Gemini 3 beaks OpenAI’s long-standing lead in SRE tasks.
A shift just happened in SRE AI performance. Gemini 3 Pro didn’t just edge out OpenAI’s models, it beat them across every SRE task we threw at it. The landscape is changing faster than anyone expected.
AI didn’t “arrive” at KubeCon 2025. It took the Pager.
5 takeaways from Atlanta on AI, Kubernetes, and reliability
When Nothing Changes and Everything Breaks: Why Machine Learning Fails Differently
Why 50% of companies don't monitor ML and how it’s reshaping our understanding of reliability.
Benchmarking LLMs for SRE-tasks, boosting Sonnet 4.5 performance by 100%
The new edition of our benchmark features Terraform tasks across AWS, GPC, and Azure, plus incorporates a new dimension: prompt-optimization.
From Hype to Hard Lessons in Agentic AI
The panel warned: the opportunity is massive, but without observability, security, and strategy, the regrets will be real.
Rootly joins Groq OpenBench with an SRE-focused benchmark
Making LLM evaluations reproducible for real-world SRE workflows
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