It's not a priority problem. It's a capacity problem. Every eng team agrees: new features need instrumentation. But sprint after sprint, tracking code loses to feature work. The backlog grows. Dashboards stay empty.
A steward is a narrow-scope AI agent that does one thing: watch your repo, write the analytics instrumentation, and open PRs. Like a junior employee whose only job is tracking code — who never takes a day off.
The diagnosis
What a steward ships
This is what lands in your repo within hours of a feature merge — not a reminder, not a Jira ticket. Working code.
src/components/Checkout/PaymentStep.tsx + import { track } from '@/lib/analytics'; + + // Track payment method selection + track('checkout.payment_method_selected', { + method: selectedMethod, + cart_value: cart.total, + item_count: cart.items.length, + }); src/components/Checkout/OrderConfirmation.tsx + // Track successful purchase + track('checkout.completed', { + order_id: order.id, + revenue: order.total, + payment_method: order.paymentMethod, + }); + + // Track abandonment on back navigation + track('checkout.abandoned', { + step: currentStep, + time_on_step_ms: Date.now() - stepStartedAt, + });
Three steps
No new tools. No dashboards. No workflow changes. Your steward works entirely through GitHub.
Install the GitHub App. Tell it which analytics SDK you use — Segment, Amplitude, Mixpanel, PostHog, or your custom setup. Takes two minutes.
Your team keeps working exactly as they do today. When feature PRs merge, the steward reads the diff and determines what needs tracking — page views, events, funnels, error states.
The steward opens a follow-up PR with real instrumentation code. Your framework, your naming conventions. Review it like any other PR. Merge when ready.
The math
Every product decision depends on data. Every data point depends on instrumentation. Instrumentation depends on capacity you don't have.
Features are tracked within hours of merge, not quarters. Dashboards light up on day one.
Your team ships features. The steward ships the instrumentation. Nobody context-switches into "analytics mode."
No more blind spots. Every flow, every button, every error boundary — instrumented consistently.
For engineering leaders
Start here. Stewards are the simplest answer: narrow scope, real output, zero workflow change. No one needs to learn a new tool or change how they work.
Common questions
What analytics providers do you support?
Segment, Amplitude, Mixpanel, PostHog, Rudderstack, and any custom analytics wrapper. The steward learns your SDK's API surface and matches your existing patterns.
What if the steward gets it wrong?
Same thing that happens with any PR — you request changes or close it. The steward learns from review feedback and improves over time. Worst case: you don't merge. No harm done.
Does it work with monorepos?
Yes. Point it at specific paths or packages. It understands workspace boundaries and shared analytics libraries.
What frameworks do you support?
React, Next.js, Vue, Svelte, Angular, and server-side Node/Express or Python/Django flows. If your team writes it, the steward can instrument it.
Every new feature instrumented. Every business decision backed by data. Zero engineer time spent writing tracking code.
Get started free →