SaaS products
Multi-user products with accounts, subscriptions, and dashboards.
Product & Build
Web App Engineering
Custom web applications built to scale. Full-stack applications with clean architecture, typed data, and quality checks on every release.
Capability
Product & Build
Primary outcome
Custom web applications built to scale.
Delivery
Strategy through execution
In short
What this capability does
Web app engineering is the design and development of custom, full-stack web applications with structured data, APIs, and production quality. Cantellis engineers web apps with React, typed server logic, and managed databases, accelerated by Lovable and Claude.
Our point of view
AI writes code quickly. Engineering decides what code should exist.
AI-assisted development has removed much of the boilerplate from building web applications. That is good news for budgets, but it moves the hard work rather than removing it. Data modelling, security policies, integration design, and performance still require judgment, and mistakes there are now made faster too.
We build web applications with a deliberately simple architecture: typed data, clear server boundaries, row-level security, and verified flows. Simple systems are easier to change, and the ability to change quickly is the real advantage of an AI-native team.
Every release is checked in a real browser, signed in, with realistic data before it is called done. That habit catches the issues that type checks and demos miss, and it is the difference between an app that impresses once and one that keeps working.
Critical signals
You likely need this if
- 01
Your product has outgrown a marketing site
- 02
Spreadsheets or email run a core workflow
- 03
In-house engineers are fully booked
- 04
Past builds were hard to extend
The problem
What this solves
We turn the underlying constraint into a focused body of work, rather than treating surface symptoms in isolation.
- 01
Your product needs more than a marketing site.
- 02
In-house engineering is at capacity.
- 03
Previous builds were fragile and hard to extend.
Common use cases
Where this capability earns its place.
Workflow platforms
Apps that replace email chains and spreadsheets with structured processes.
Data-driven tools
Calculators, configurators, and reporting apps for customers.
What you get
Deliverables
- Full-stack web application
- Data model and APIs
- Testing and QA
- Deployment and monitoring
How it runs
Our approach
01
Architecture
Design data model, roles, and integrations up front.
02
Iterative build
Ship features in short cycles you can review live.
03
Quality
Security rules, type checks, and end-to-end verification.
04
Launch and support
Deploy, monitor, and iterate based on usage.
Lovable and Claude
Excellence at speed
AI is the accelerator, not the product. One operator keeps strategy, build quality, and business context connected.
- 01
AI-assisted building removes boilerplate, so budget goes to features.
- 02
Claude reviews logic and security policies for gaps.
- 03
Every release is verified in a real browser before it is called done.
Expertise and outcomes
Capability that changes the work.
Our expertise
- React and TypeScript full-stack apps
- Database design and row-level security
- API and third-party integrations
Expected outcomes
- A scalable, maintainable web application
- Faster delivery at lower cost
- Code and data you fully own
What we see go wrong
Common mistakes to avoid.
Designing data last
The data model shapes every feature. Getting it wrong is the most expensive rework.
Mixing client and server concerns
Secrets and permissions belong on the server, always.
Ignoring observability
Without logs and monitoring, issues are found by customers first.
Over-engineering for scale you do not have
Build for the next year, not the next decade.
Measurement
How we measure success
- Release cadence
- Verified releases per month
- Lead time for change
- Request to production
- Incident rate
- Production issues per release
- Performance
- Load time on key pages
Questions
FAQ
- Which technologies do you use?
- React, TypeScript, server functions, and a managed Postgres database, built through Lovable.
- Can you integrate with our existing systems?
- Yes, through APIs, webhooks, and standard connectors.
- Who does the web app engineering work?
- The operator who scopes the work does the work. No hand-offs to junior teams.
- Do we own everything?
- Yes. Code, content, accounts, and data stay yours with zero agency lock-in.
- How do we start?
- Send a short brief or build a quick POC. We reply with a recommended next step.
Keep reading
Related guides
10 min read
Should you build your SaaS with Lovable or hire developers?
A founder's comparison of building SaaS with Lovable, hiring developers, or combining AI-accelerated building with operator judgment, including real cost ranges.
Read guide9 min read
Lovable app examples: what a production build actually looks like
Real Lovable app examples across websites, customer applications, and internal tools, and the patterns that separate a production build from a demo.
Read guideProof, not promises
Try it on your problem.
Describe what is blocking you and get a small working prototype in minutes.
Build a POCTalk to the builder
What needs to move?
Send a short brief. The person who reads it is the person who will do the work.
Send a brief