Product Engineers · AI-first
Fast execution. Real product. Measurable outcomes.
From idea to codewith incremental delivery and judgement
We’re developers who read the business first: we pick the tool for the problem, not the problem for the tool. AI speeds the repeatable work; judgement is ours.
How we’re different, in three lines
Principles you’ll feel in how we scope, ship, and charge.
Ship in weeks, not months
Your time is the most expensive thing you bring to the project. We strip out needless bureaucracy so decisions and shipping align with your release cycle—not with meeting schedules.
Powered by AI, crafted by humans
AI gives us superpowers for speed and iteration; human judgement is what sets strategy, trade-offs, and quality. Tools accelerate—the outcome stays ours to own.
Goodbye to billable hours
We don’t sell hours—we sell finished solutions. Our incentive is to land fast and well, not to stretch the budget or pad the clock.
What’s costing your team money
Typical situations when the product already ships revenue or is business-critical.
Frontend or stack stuck on an old branch
Vue 2, AngularJS, untested SPAs: every release is slow, hiring is hard, and technical debt grows faster than the roadmap.
AI bolted on without a use case or metrics
Generic integrations, unpredictable token spend, shaky UX. You need to decide where AI returns value before filling the UI with prompts.
You can’t stop the business for a “total rewrite”
Value has to ship in slices—with migrations and feature flags—not an 18‑month plan nobody can underwrite.
You need senior judgement, not more “hands”
You want someone who prioritizes risk, sets boundaries, and explains the why to your engineers—not extra layers whose incentives drift from what actually ships.
Why us
A twenty-person team buys management layers, fuzzy handoffs, and calendars built to justify headcount. We’re the short line: who you talk to is who ships. That’s real agility—not a word on a corporate slide.
How we can help
Clear offers around modernization and AI.
Technical audit
Fast entry: risk map, debt, and dependencies; honest prioritization and a realistic view of what migration or AI integration actually costs.
Modernization
Migrating aging frontends, updating toolchains, incremental delivery with the product live—tests and deploys you’re not afraid of.
AI integration
LLM features or automation where there’s a clear flow, data, and guardrails (cost, errors, compliance). No “chatbot because everyone has one.”
Retainer
After the project spike: PR review, architecture calls, and support for your internal team without permanent dependency.
Consulting & enablement
When you need judgement and a plan—not another pair of hands typing tickets.
AI adoption
Where AI belongs in your product and operations, what to measure, and what to leave alone. Roadmap, risk, and cost before you commit to tools or vendors.
Team enablement
Help your leads set priorities, review architecture, and ship with clearer ownership—without adding process for its own sake.
Legacy migration projects
Phased plans for aging stacks: scope by domain or route, feature flags, rollback, and a delivery rhythm that keeps revenue online.
AI in the workday
Practical learning for teams: how to use AI in daily work with real workflows, guardrails, and habits—not a slide deck of prompts.
Our method
Three ways an AI-first workflow makes us faster without lowering the quality bar.
- 01
Velocity
We automate the mechanical work: test scaffolds, integration, repeatable patterns. Time goes to shaping the right flow and unblocking—not to typing boilerplate.
- 02
Precision
We pressure-test assumptions with real examples, compare designs, and cut speculation before architecture locks in. Less drift, more deliberate decisions.
- 03
Architecture
We design around operating cost, recoverable failure, and shipping from day one. We build for traffic and change—not to win a demo.
Stack and contexts we work in
Production, not fashion: from aging stacks to current tooling.
Backend
- Go
- Java — Spring Boot, JEE
- Node.js (TypeScript) — NestJS, Express
- Python — Django, FastAPI
- Rust
Frontend & legacy
- Vue 2 → 3 migration, older SPAs
- React, Angular, Vue
- Next.js
- TypeScript
- Tailwind CSS
- Testing — Vitest, Cypress, Playwright
Mobile
- React Native
- Expo
- Swift
- Kotlin
Infrastructure & cloud
- Docker & Kubernetes
- Terraform
- AWS, Google Cloud, Azure
Databases
- Redis
- SQL — PostgreSQL, Oracle, and others
- MongoDB, Cassandra
Testing & quality
- Jest, Pytest, JUnit
- Cypress, Playwright
- CI/CD integration
Architecture
- Microservices
- REST APIs
- Incremental migration
Blockchain
- Smart contracts
- ethers.js, wagmi
- WalletConnect
- Ethereum
AI you can deploy and maintain
We shape the use case before the model: available data, cost per request, acceptable errors, and compliance. Integration with your APIs and observability—not a prototype nobody wants to own.
- Anchored in real user flow and domain
- Cost and latency budgeted in the design
- Human in the loop when mistakes are expensive
Projects we’ve built
Products we’ve designed, shipped, and keep evolving in production.
Construction & installation management
eController
A multi-tenant platform for builders, installers, and trades: jobs, clients, timesheets, invoicing, payments, and role-based access—from the worksite to the office.
Questions teams ask before they start
Straight answers so you can decide whether we fit.
Can you modernize a live product without a full rewrite?
- Yes. We migrate in slices—by domain, route, or layer—so revenue keeps flowing. Feature flags, rollback, and quality gates are part of the plan, not an 18-month rewrite nobody can underwrite.
How do you add AI without it becoming a cost sink?
- We pick the use case before the model: data you already have, cost per request, acceptable errors, and compliance. Integration with your APIs and observability come first; a bigger model does not save a bad flow.
Do you replace our team or work alongside it?
- Alongside. We bring senior judgement—priorities, boundaries, and hands-on delivery—so your engineers get clearer direction, not another layer whose incentives drift from what ships.
What does a typical engagement look like?
- Start with context: current stack, whether it is SaaS or internal, and what should change in the next few months. Then a short call or a written proposal with phases. We sell finished outcomes, not billable hours.
When is a retainer a better fit than a project?
- When you need continuity: someone who already knows the repo, can unblock decisions, and stays after a migration or AI pilot. Reserved senior time without hiring a full-time role.
Tell us your context
Current stack, whether it’s SaaS or internal, and what you want to change in the next few months. Book 30 minutes with Jose, or send a message—we reply within two business days.
How would you like to start?
Send a message
Share your stack and context. We reply within two business days.
info@nuvolia.tech