Commerce engineering at scale, without frontier prices on every keystroke.
Large retailers run huge engineering teams across storefronts, supply chain, and data platforms. AI coding tools help all of them, and routing keeps the cost of that help in proportion.
The challenge
What makes retailers and commerce platforms different.
01
Many teams, many stacks
Storefront, logistics, and data teams use different languages and tools. Routing policies have to fit each.
02
Seasonal pressure
Peak-season work spikes agent usage just when budgets are watched most closely.
03
Spend is hard to attribute
Without per-team numbers it's impossible to know which usage is paying off.
Where the tokens go
Work we route to cheap models.
- Storefront and API boilerplate
- Reading large services before changes
- Test generation for checkout and payments
- Data pipeline scaffolding
- Repo-wide refactors
- Documentation
Tools we route
Routing runs inside your environment — your cloud account, your data center, or an isolated network.
- Payment-related code can be pinned to approved models
- Per-team cost reporting
- A log of which model produced every routed change
- Access controls through your identity provider
Recommended path
How engagements typically unfold.
Start where the value is clearest. Most clients begin with a spend audit, then route one team before rolling out.
Start the conversation
Stop paying frontier prices for routine work.
Tell us which coding tools your engineers use and roughly what you spend. We'll show you where the tokens go and what routing would change.
We respond within 1 business day. Mutual NDA available before any data discussion.