Your AI ships code.
Who ships the product?
Growth Engineering gives your AI agent eyes on what users actually do — so every line of code compounds into product intelligence.
You ship in days. You learn in... never.
What AI gives you
Ship a full app in a weekend. Scaffold features, write tests, deploy — faster than ever before.
What you're missing
Are users activating? Where do they drop off? Why did they churn? You have no idea.
What it costs
Product managers, growth engineers, data analysts — roles you can't afford yet.
The AI that builds your product
should understand your product.
Growth Engineering connects your AI coding agent directly to your product analytics. It discovers user journeys, instruments tracking, audits coverage, and compounds every insight into persistent product memory.
Imagine shipping your app on Monday. By Tuesday, Growth Engineering has mapped every user journey and instrumented tracking. By Wednesday, it's simulated 50 users and verified your analytics. By Thursday, real users arrive and it's already monitoring funnels. By Friday, it notices a 60% drop-off at onboarding step 3, deploys a micro-survey, learns users find it confusing, and proposes a simplified flow. By next Monday, the A/B test shows 40% improvement — and it's already looking at the next bottleneck.
Every week, your product gets smarter. You never hired a product team.
From zero to instrumented in one session.
Discover
Map your user journeys automatically
Instrument
Implement event tracking end-to-end
Audit
Verify coverage — zero gaps
Stop flying blind after deployment.
Six specialists. Zero headcount.
Funded startups hire entire teams to understand their users. Growth Engineering gives you the same capabilities — built into your AI workflow.
Product Manager
Defines what to build, prioritizes roadmap, decides what to measure.
Growth Engineer
Instruments funnels, runs experiments, optimizes activation and retention.
Data Analyst
Queries analytics, builds dashboards, surfaces insights from user behavior.
UX Researcher
Deploys surveys, identifies friction points, uncovers why users drop off.
Experimentation Lead
Runs A/B tests, manages feature flags, measures what actually moves metrics.
Analytics Engineer
Designs tracking schemas, ensures data quality, audits event coverage.
That's the team behind every successful product. Now it's part of your stack.
Intelligence that compounds.
Growth Engineering isn't a dashboard. It's an autonomous product development loop that compounds intelligence with every iteration.
Instrument
AI discovers your user journeys, implements event tracking, and audits coverage — automatically.
Validate
Before real users arrive, AI simulates diverse personas through your app and verifies analytics capture every interaction correctly.
Monitor
Real-time anomaly detection, funnel analysis, and autonomous user research — the AI deploys contextual micro-surveys at the moment users hesitate or drop off.
Iterate
AI proposes data-backed changes, runs A/B tests via feature flags, measures impact, and rolls out winners — graduated from 1% to 100% with automatic rollback.
Give your AI the product layer it's missing.
Every growth lever. Fully wired.
Not a single tool — a systematic architecture of MCP tools, AI skills, and integrations covering every surface of product growth.
Discovery & Instrumentation
Analytics & Monitoring
Experimentation & Flags
User Research
Acquisition & Channels
Revenue & Retention
Communications
Compounding Intelligence
Laravel first. Your framework next.
Growth Engineering is framework-agnostic by design. Laravel ships first because its MCP ecosystem is unmatched. More frameworks are on the roadmap.
Be first to compound.
Join the waitlist for early access. We'll notify you when Growth Engineering is ready for your stack.