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Engineering at VAUG

Eight disciplines. One team that ships.

From AI agents to app store releases, one senior team designs, builds, tests and runs your product. AI makes us fast. Reviews, tests and pipelines keep it safe.

  • AI Engineering
  • Web & Mobile
  • Backend & Cloud
  • Design & QA
VAUGAutomateBuildScale

Design, Build, Test, Ship, Monitor, Improve

Disciplines

Everything Your Product Needs. 

Pick a discipline to see what we build and how. Most projects use four or five of them at once.

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AI Engineering

Agents, RAG, LLM apps and evaluation.

  • Workflow agents
  • RAG and knowledge search
  • Chat and voice assistants
  • LLM product features
  • OpenAI
  • Anthropic Claude
  • Gemini
  • Llama
  • Mistral
  • LangChain

Process

How Our Engineering Works. 

Every change follows the same path from idea to production. AI drafts, engineers decide, and nothing ships without a test and a second pair of eyes.

  1. 01 · Plan

    Scoped ticket

    Each change starts as a small ticket with acceptance criteria your lead has agreed.

  2. 02 · Draft

    AI-assisted build

    Engineers use AI tools to draft code, tests and docs faster, then rewrite what isn't right.

  3. 03 · Review

    Human code review

    A second engineer reviews every pull request for logic, security and readability.

  4. 04 · Test

    Automated tests

    Unit, integration and end-to-end tests run on every push. Red builds don't merge.

  5. 05 · Ship

    CI/CD pipeline

    Preview builds for every branch, one-click releases and instant rollbacks.

  6. 06 · Document

    Living docs

    READMEs, architecture notes and runbooks updated in the same pull request.

What AI speeds up

  • Boilerplate, scaffolding and repetitive refactors
  • First drafts of tests and documentation
  • Searching large codebases and explaining legacy code
  • Spotting likely bugs before review

What engineers always own

  • Architecture, data models and trade-offs
  • Security, privacy and access decisions
  • Final review and approval of every change
  • Talking to you, and saying no when it matters

In numbers

Engineering by the Numbers. 

Products shipped
120+Web, mobile and AI builds since 2019
Engineers and designers
40+Senior-led squads across disciplines
Pull requests reviewed
100%No change merges without a second engineer
Median time to production
<1 dayFrom merged pull request to live

Tech stack

The Full Stack We Work In. 

Drag through the categories. We pick what fits your team, budget and roadmap, not what's trendy.

  • AI & LLMs

    Agents & models

    Model selection, retrieval, tool use and evaluation for agents that behave in production.

    • OpenAI
    • Anthropic Claude
    • Gemini
    • Llama
    • LangChain
    • LlamaIndex
    • Vector DBs
  • Frontend

    Web & mobile

    Fast, accessible interfaces for web and mobile, from marketing sites to complex dashboards.

    • React
    • Next.js
    • TypeScript
    • Tailwind CSS
    • React Native
    • Flutter
  • Backend

    APIs & data

    Reliable APIs, data models and integrations that scale with your business.

    • Node.js
    • Python
    • FastAPI
    • Go
    • GraphQL
    • PostgreSQL
    • MongoDB
  • Cloud & DevOps

    Infrastructure

    Deployments, monitoring and cost control on the cloud that suits you.

    • AWS
    • Google Cloud
    • Azure
    • Vercel
    • Docker
    • Kubernetes
  • Automation

    Workflows

    Glue between your tools, so data moves without anyone copy-pasting it.

    • n8n
    • Make
    • Zapier
    • WhatsApp API
    • Twilio
    • Stripe
  • No-code rescue

    Launch & fix

    We speak the tools your prototype started in, and finish what they couldn't.

    • Lovable
    • Bolt
    • v0
    • Supabase
    • Firebase
    • Webflow
  • Testing & QA

    Quality

    Automated suites, device labs and load tests that catch problems before your users do.

    • Playwright
    • Cypress
    • Jest
    • Vitest
    • Appium
    • k6
    • BrowserStack
  • Design

    Product design

    Research, prototypes and design systems your engineers can build from directly.

    • Figma
    • FigJam
    • Storybook
    • Framer
    • Maze
    • Lottie
  • Data & Analytics

    Insight

    Events, dashboards and pipelines so you know what's working and what isn't.

    • BigQuery
    • dbt
    • Airbyte
    • Metabase
    • PostHog
    • Mixpanel

Questions We Hear Often. 

  • Do you use AI to write code?

    Yes, as a drafting tool. Engineers use AI to move faster on boilerplate, tests and docs. Every line is still reviewed by a human engineer and covered by tests before it merges.

  • Who owns the code?

    You do. Code lives in your repository from day one and full IP transfers to you under our standard agreement.

  • Can you work with our existing team and stack?

    Yes. We join your tools, rituals and code standards, or bring ours if you don't have them yet. We're comfortable picking up legacy code.

  • How do you keep quality high while moving fast?

    Small pull requests, mandatory code review, automated tests on every push and preview builds you can click through. Your lead reports on quality every Friday.

  • Which discipline do I need?

    Usually several. Book a free 30-minute call and we'll map what you're building to the right mix of skills, then send a proposal within 48 hours.

Get in touch

Tell us what you're building.

Share a few lines about your idea, workflow or project. A senior lead replies within one business day.

  • Free 30-minute strategy call
  • NDA on request
  • Proposal within 48 hours

We reply within one business day. No spam, ever.

Bring us the hard part.
We'll bring the team.

Free 30-minute strategy call · NDA on request · Proposal within 48 hours