AI + Operations
From noisy telemetry to useful decisions
Where AI agents can genuinely help in observability and incident response, and where human judgement still matters.
WRITING & FIELD NOTES
I’m building this as a record of what I learn while working across platforms, cloud, reliability, delivery, cost, and AI. Some ideas will become essays. Others may remain shorter field notes. I’ll publish them when they are ready.
SRE + RELIABILITY · PUBLISHED OCTOBER 2026
Hard-won lessons on SLOs, toil, alerting, postmortems and simplicity from running production systems across AWS and Azure.
AI + SDLC · PUBLISHED OCTOBER 2026
AI now works across the software lifecycle. The stages are blurring, and human judgement has moved to the centre.
AI + ENGINEERING · PUBLISHED SEPTEMBER 2026
A visual field guide to preserving project memory, selecting useful context and resetting cleanly across Claude Code, ChatGPT, Cursor, GitHub Copilot and Gemini Code Assist.
FINOPS + AI · PUBLISHED SEPTEMBER 2026
The real cost of one overloaded AI coding session, and the six habits that would have kept it focused.
SCM + AI · PUBLISHED SEPTEMBER 2026
The engineering discipline AI cannot automate away.
ON THE WORKBENCH
Ideas currently being developed
AI + Operations
Where AI agents can genuinely help in observability and incident response, and where human judgement still matters.
Platform Engineering
A platform becomes valuable when it removes friction, makes the safe path easier, and respects how engineers actually work.
Reliability
SLOs and automation matter, but durable reliability also comes from ownership, operating habits, and the quality of decisions.
FinOps
How visibility, ownership, forecasting, and design choices can make cost a useful part of engineering rather than a finance-only conversation.
LONGER WORK
Nothing to list yet. I’d rather keep this honest and add longer work when it is genuinely useful and ready to share.