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Artificial Intelligence
Coding agents in a production .NET shop: what holds up
We have been running Claude-style CLI coding agents against production .NET code for long enough to have opinions that survived contact with a client's release schedule. This post, part of our Practical AI in DevOps…
#coding-agents#dotnet#code-review#developer-productivity#ai-engineering
One small team, 100+ automated checks: anatomy of an AI-assisted monitoring platform
A backup job that has not run for eleven days will not send you an email. Neither will a TLS certificate with nineteen days left on it. The failures that cost our clients money are almost never the loud ones; they are…
Practical AI in DevOps: the series
Most of what gets written about AI in DevOps is written by people selling AI in DevOps. This series is our attempt at something more useful: a running account of what we actually run, what it costs us, and where it…
Listening at scale: monitoring industry forums and communities with AI
Most listening set-ups I see at Australian mid-market companies are a saved search and a daily email digest. That catches press mentions and misses almost everything that happens in the communities where your buyers ask…
#social-listening#community-marketing#brand-monitoring#llm-classification#content-strategy
Answering from your own documents: a policies and procedures assistant for any business
Most of the questions that clog an HR inbox or an operations channel have already been answered in writing. The leave policy says what happens when a public holiday falls during annual leave. The installation manual…
When AI must not act alone: human-in-the-loop patterns for security automation
Most of the AI security work we do for clients ends up hinging on one question: what is this thing allowed to do on its own at 3am on a Sunday? Everything else follows from the answer. Model choice, prompt design, which…
#human-in-the-loop#security-automation#ai-governance#audit-trail#soc-operations