Notes from the remediation loop.
Engineering deep-dives, postmortems, and announcements from the team building the AI SRE that detects, fixes, and verifies production problems.
Your agent isn't underperforming. Your harness is.
On Meta-Harness, and why we're making Aient's own scaffolding empirically inspectable: scores, traces, and candidate history instead of vibes with a changelog.
Delegate, trust, pray.
AI operations tooling mostly asks for faith. Trust is not a model problem, it is a UI problem, and the fix is an evidence ladder you can climb rung by rung.
The correctness budget.
Most of your codebase does not deserve to be correct. Deciding which parts do is a budget decision, and pretending otherwise is how teams overspend on the wrong bugs.
Why I built Aient.
Coding agents act on your volition. You ask; they do. Nothing asks on behalf of production. The founding story of an agent that notices.