−35% feature development time
ZapBook Design
Design system
Three component libraries became one, in Figma and Storybook. Handoff took 1.8 months, and feature development time dropped 35%.
Read the ZapBook Design case study →HIRE A FRONTEND ENGINEER
A senior frontend engineer working AI-native in your repo, contributing in 15 days. Monthly from $3,375, or buy hours from $45.
NDAs are standard · Your repo, your IP
15 days
From kickoff to merged contributions
$3,375
Retainers from, per month, for 150 hours
Every merge
Reviewed by a senior engineer
Day 1
Your repo, your cloud, your IP
WHAT THEY DO
01
Figma frames become screens that match on desktop and mobile, built from your shared components.
02
Buttons, forms and tables defined once and reused, so the next feature doesn't redesign them.
03
Smaller bundles, server rendering where it helps and images that load at the right size, measured before and after.
04
Dashboards and displays that update as data changes, over WebSockets.
05
Several role-specific dashboards folded into one, with each role seeing what it should.
06
Component and end-to-end tests on the flows that make money, so releases stop breaking checkout.
SKILLS & STACK
On another framework? Tell us which one on the call.
HOW AI MAKES THIS ROLE FASTER
AI is fastest at the repetitive parts of frontend work: the fifth variant of a form, the story for every state, the test for every breakpoint. A senior engineer reviews every line before merge, so speed doesn't turn into a pile of one-off components.
| Step | What AI does | What the engineer checks | The gate it passes |
|---|---|---|---|
| From design to code | Drafts the component from the Figma frame and its states | It reuses the existing library instead of adding a near-copy | Senior review on every merge |
| Stories & states | Writes Storybook stories for loading, empty, error and long-text states | Each state matches the design | Senior review on every merge |
| Tests | Drafts component and end-to-end tests for the flow | Tests check behaviour, not markup that changes every week | Senior review on every merge |
| Refactors | Proposes merging duplicate components and props | Nothing visible changes unless the design says so | Senior review on every merge |
| Review | Flags missing labels, unhandled errors and heavy imports | Every line before merge | Senior review on every merge |
Across 470 open-source pull requests, CodeRabbit found AI-co-authored code carried ~1.7× more major issues and ~2.7× more security defects. A senior review on every merge is how we keep the speed and lose the defects. Client code is never used to train models.
WAYS TO WORK TOGETHER
Have a messy UI and no shared library yet? Start with a Design System Sprint, then keep a frontend engineer on a retainer.
Recommended
from $3,375/month · 150 hours
150 hours a month of your frontend engineer on a backlog we agree with you, with senior review on every merge. The price depends on the role and is confirmed on a 30-minute call.
See the retainer →$45/hour · 20-hour minimum
Buy 20 to 120 hours for scoped work, valid for 12 months. Bigger blocks cost less per hour. Need more than 120? The retainer fits better.
See hour blocks →lead + 1 engineer from $8,000/month
A tech lead plus your frontend engineer inside your repo, your Slack and your sprint rituals. Bigger teams are quoted to fit.
See embedded teams →HIRING VS. SOCIILABS
| Hiring your own | Working with SociiLabs | |
|---|---|---|
| Time to first contribution | A search, interviews, notice period, then onboarding | Contributing in 15 days |
| If it doesn't work out | 46% of new hires fail within 18 months (Leadership IQ) | We replace the engineer, handover time isn't billed, and you keep the code and history |
| Who reviews the code | Whoever you already have | A senior engineer, on every merge |
| How AI is used | Depends on the person | AI in the loop on every task, behind a review gate |
| Commitment | Salary, benefits, equity | Monthly retainer or a block of hours |
PROOF
−35% feature development time
Design system
Three component libraries became one, in Figma and Storybook. Handoff took 1.8 months, and feature development time dropped 35%.
Read the ZapBook Design case study →<300ms
Gaming & venues
Live TV displays in the venue update in under 300ms over WebSockets, and session setup dropped to under 2 minutes, from 8.
Read the PlayBombhole case study →3 → 1 dashboards
Hospitality
Three conflicting dashboards became one role-based dashboard, built in Next.js. Production-ready in 12 weeks.
Read the HELM case study →FAQ
Retainers from $3,375 a month for 150 hours. The price depends on the role and is confirmed on a 30-minute call. Prepaid hours cost $45 an hour, for 20 to 120 hours, and stay valid for 12 months. An embedded team of a lead plus one engineer starts from $8,000 a month.