Mesmer

Mesmer's Cursor integration installs with one shell command: once per machine for an individual engineer, as a recurring Rippling script policy plus a configuration profile for a fleet, or inside a Cloud Agent Build via environment.json. Capture every rep

Four check categories, three outcomes per finding, and why a "required" AI review can report a pass when the model behind it is down.

A new AI Usage tab in Metrics: what your coding agents cost, who is using them, and how that spend tracks against delivered effort.

Five context-gathering patterns that burn tokens in agentic eng orgs, and the fix for each: scoped instruction files, context firewalls, zero-token polling.

Connect any OAuth-capable MCP server to Mesmer - pick from a vetted catalogue or paste a URL - and its tools work in chat and the workflow planner.

We build harnesses for engineering orgs, and this is the metric we've seen is reliable at predicting increases in speed and quality developing with agents, proven through 8 months of experimentation including +2000 engineers across +100 companies. Measure

A new Home page - your daily standup - and navigation that drops the org chart: pick a scope and timeframe once, and the other tabs all answer for it.

DORA still works as a health check but it is a lagging indicator you cannot optimize toward. SPACE is worse off - its volume components are game-able and it pins system problems on individuals. What replaces them: org-level measurement, volume used as a c

Hiring does not get easier as you scale, and firing fast is a fantasy for most founders - so build a company that hires slow instead. The mechanics that worked at 150 people: network downloads instead of "who do you know", mining interviews for names, one

Hundreds of teams have connected their code and project data to Mesmer, and the ones that moved 2x+ faster in Q1 share a playbook. Humans stopped writing code directly, agents get triggered by alerts rather than by people, review moved off the human criti