Is the code production-quality?

Yes. AI accelerates typing, not judgment. Architecture, tests, edge cases, and review standards are the same as on any senior engagement.

Does my IP go to OpenAI / Anthropic?

No. We use enterprise-tier tooling with zero-retention policies and codebase-scoped contexts. Your code stays your code. NDAs apply.

What if the AI hallucinates something?

Senior review catches it. Every diff is reviewed before merge by a senior engineer, plus an AI auditor as a second pair of eyes. Hallucinations die in the PR, not in production.

Can you work with my existing codebase?

Yes. Claude Code reads the whole repo before suggesting changes. We take over Flutter, native iOS, and native Android codebases regularly — AI just makes the onboarding phase faster.

Home

AI-augmented delivery

Ship 2× faster.
Without the vibe-coder discount.

We use AI tooling everywhere it earns its keep across the app, the web panel and the backend, and keep senior engineers in the driver's seat for everything that matters: architecture, edge cases, production quality.

Send a message See case studies

2×

Faster delivery

AI writes the scaffolding and repetitive code across the whole system.

Every PR

AI audit

An automated review for security and regressions before a human looks.

100%

Same quality bar

Every line reviewed by a senior engineer before merge.

How AI changes the math

Same scope, same quality bar, less of the work that doesn't need a senior brain.

Dimension

Without AI

With AI

Scaffolding effort

Days of manual setup

Hours, AI-generated

Code review

Manual, after the fact

AI audit + senior review on every PR

Design-to-code

Pixel-pushing by hand

Figma MCP straight to Flutter / SwiftUI

Quality bar

Same

Same — AI accelerates, doesn't replace judgment

The tools we rely on

Each one earns its keep. No tool here exists for the demo — they all save real hours every week.

Repo-aware coding partner

Claude Code

AI that reads your whole codebase before writing — refactors, migrations, and feature scaffolds in minutes instead of days.

AI IDE for tight loops

Cursor / Windsurf

Inline generation and multi-file edits with project context. Where Claude Code does the heavy lifting, Cursor handles fast iteration.

Design-to-code, no copy-paste

Figma MCP

Designs come straight from Figma into Flutter / SwiftUI screens — pixel-faithful, with the project's tokens and components reused.

PR audits before merge

AI code review

Every pull request gets an automated senior-level review — security, regressions, dead paths — before a human reviewer touches it.

How it works in practice

A repeatable rhythm: AI handles velocity, senior engineers handle judgment.

AI scaffolds, we architect

Boilerplate, models, API clients, basic screens — generated in hours. The architecture, the data model, the tradeoffs — decided by a senior engineer upfront, not improvised by an LLM.

AI iterates, we review

Feature work happens in tight AI-assisted loops. Every commit goes through senior review and AI-powered PR audit. Production-grade tests, not toy demos.

AI accelerates, we ship

Release pipelines, store listings, privacy manifests — automated where it's safe, hand-checked where it counts. The last 10% to launch stays human.

Real projects, AI-accelerated

Three live App Store apps where AI tooling earned its keep — without lowering the architecture bar.

Flutter · iOS & Android

Boyfi — AI provider abstraction

Dual subscriptions (App Store IAP + Stripe-driven web funnels) and two AI providers (OpenAI + Grok) behind one interface. AI tooling scaffolded the boilerplate; senior judgment owned the abstraction. Eight months later, a third provider was added by touching one module.

Read the project notes

Flutter · iOS · Cloud Functions

AI Music — generation queue at scale

Text-to-song generation with FoxAI and MusicAPI behind a provider-agnostic interface, backed by Cloud Functions that orchestrate the generation queue and webhook callbacks. AI tooling shaped the screens and the queue glue; the architectural call — single source of truth, retry semantics — stayed human.

Read the project notes

Flutter · 49K LOC · NDA

Companion — billing version migrations

Three monetization models running in parallel — tokens, tiered subscriptions, moment packs — with zero billing errors during migrations. AI generated the boilerplate webhook handlers; the version-routed PaymentEvent architecture was designed deliberately, not improvised.

Read the case study

The pattern is the same across all three: AI accelerates the implementation, but the architectural decisions — where the abstraction lives, how to route between providers, how to version a payment model — stay with a senior engineer. That's the line between AI-augmented and vibe-coded.

What stays the same

AI raises the floor, not lowers it. Here's what doesn't change when you work with us.

Senior judgment on architecture and tradeoffs.
Code we'd happily inherit a year from now.
You talk to the engineers who build it, not a prompt-engineering crew.
NDA-friendly: AI tooling configured for your privacy needs.

Frequently asked

The questions founders ask before signing off on AI-augmented engagements.

Is the code production-quality?: Yes. AI accelerates typing, not judgment. Architecture, tests, edge cases, and review standards are the same as on any senior engagement.
Does my IP go to OpenAI / Anthropic?: No. We use enterprise-tier tooling with zero-retention policies and codebase-scoped contexts. Your code stays your code. NDAs apply.
What if the AI hallucinates something?: Senior review catches it. Every diff is reviewed before merge by a senior engineer, plus an AI auditor as a second pair of eyes. Hallucinations die in the PR, not in production.
Can you work with my existing codebase?: Yes. Claude Code reads the whole repo before suggesting changes. We take over Flutter, native iOS, and native Android codebases regularly — AI just makes the onboarding phase faster.