1d ago · 13 min read · Key Takeaways Automated post-mortem generation is the process of producing an incident retrospective from artifacts already collected during the incident — chat transcript, alert timeline, monitor d
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3d ago · 13 min read · Key Takeaways Aurora Actions are reusable, natural-language automations that Aurora's agent executes in the background using all 22+ connected integrations. Available today on the main branch of Auro
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3d ago · 15 min read · Key Takeaways Most teams do not yet auto-remediate inside CI/CD. Per JetBrains' AI Pulse coverage (April 2026), 78.2% of respondents don't use AI in CI/CD workflows at all — even though AI is now wi
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5d ago · 14 min read · Originally published at theculprit.ai/blog/sql-primitives-for-incident-split-merge. Every alert-correlation system gets things wrong. The interesting question is what the on-call engineer can do about it at 2 a.m. The bad answer is: nothing. The sys...
Join discussionMay 1 · 5 min read · Every observability vendor has bolted "AI" to their landing page. Half of those features are genuine improvements. The other half are autocomplete in a costume. After a few years of running these tools across enterprise estates, here is where AI-augm...
Join discussionApr 27 · 6 min read · Every failed pipeline is a detective story buried in thousands of lines of output. Here's how we built the first version of an agent that reads them so you don't have to. The Problem We Are Tired Of
Join discussionApr 27 · 12 min read · In Part 1, we built the simplest possible thing — a Python script that fetches a failed GitLab job trace and asks Claude to classify it. It worked. But the moment it worked, we saw every crack clearly
Join discussionApr 20 · 7 min read · The landscape of software development is constantly evolving, and by 2025, Continuous Integration/Continuous Delivery (CI/CD) pipelines are undergoing a revolutionary transformation. What was once a series of manual or rigidly scripted steps is now b...
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Apr 18 · 3 min read · I didn’t plan to get into AI. Honestly, I was quite comfortable working as an Azure DevOps Engineer — building pipelines, managing infrastructure, automating deployments. Things were structured, predi
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