JS Lab

An auth-aware product surface built to show how I handle frontend state.

This is a clean-room prototype, not a code demo. The point is to show judgment: tenant context, permission lines, operational state, and interaction design that stays calm under pressure.

What it proves

  • Role changes alter visible actions and permission language, not just a hidden API assumption.
  • Tenant switches swap context, labels, and operational risk across commerce, SaaS, and mobile.
  • State modes tighten or relax the whole surface with restrained motion and clearer copy.

Flagship Prototype

Multi-tenant operations surface

A clean-room control surface where role gating, tenant context, and product state all shift the UI without the page turning into a gimmick.

Mode

Healthy

Release train is clear. Promo payload still fits the cart-path budget.

Storefront / conversion

Northline Commerce

Shows script discipline and render-budget thinking where JavaScript weight changes revenue behavior, not just Lighthouse scores.

Access posture

Write access is enabled for incident ownership, release handling, and permission updates in the selected tenant.

Cart script budget

132 KB

Below release threshold

Checkout latency

1.4s

p75 interactive path

Open interventions

3

No blocked releases

Operational queue

Select any item to inspect state, actions, and permission shape.

2 live items

Activity

Theme release window 16:30
Checkout script budget inside guardrail
No active escalation

Connected to real work

The prototype is clean-room. The underlying judgment comes from shipped work.

The lab is only useful if it maps back to production experience. These are the real projects that anchor the same concerns.

Storefront performance

94% -> 84% abandoned checkout

The Shopify case study is the real production version of this discipline: script budgets, conversion-sensitive paths, and frontend changes tied to revenue behavior.

Read Shopify case study ->

Auth and platform complexity

700k LOC / $7.8k -> $2.4k cloud spend

ACTOR shows the deeper systems side underneath the lab: tenancy, Keycloak, session order, and release risk across a large production codebase.

Read ACTOR case study ->

Mobile product delivery

Auth, rewards, messaging, repeatable shipping

The Abantu work matters here because mobile state, messaging, and release discipline change how operations surfaces need to behave.

Read Abantu case study ->

Why this matters

Teams need frontend engineers who can make complex state feel intentional.

That usually means performance discipline, permission clarity, and operational restraint showing up in the product itself. The JS Lab is my compact proof of that working style.