Website, system, and application development
We apply the experience of building and evolving Mobitsa to SaaS services, internal systems, websites, web and mobile applications, AI features, and integrations.
Goal, users, and constraints
Structure, data, and integrations
Interface, logic, data, and AI features
A verified version ready to evolve
Directions
What can be developed
The product format follows the problem instead of a predetermined template or technology.
SaaS platform
Accounts, pricing, subscriptions, roles, workspaces, and multi-tenant architecture.
Internal service
CRM, operational records, workflow automation, analytics, and tools for everyday work.
Website or web service
Public pages, accounts, catalogs, forms, integrations, and manageable content.
Web or mobile application
A client or employee interface with shared server-side logic and data.
AI system
Chatbots, agents, knowledge bases, search, document processing, and controlled workflows.
Standalone module
Payments, an integration, API, analytics, or a new capability inside an existing product.
Working method
Product structure first, code second.
The work is divided into verifiable stages. Decisions, constraints, and completion criteria are recorded before they become expensive to change.
Context
The problem, users, existing workflows, and constraints.
Architecture
System boundaries, data, integrations, and technical risks.
Prototype
The key user journey and the smallest useful operating system.
Iterations
Small, complete increments with regular verification.
Release
Deployment, observability, documentation, and an evolution plan.
Mobitsa experience
Product development practice applied to your project.
Mobitsa brings together websites, commerce, booking, CRM, workspaces, and AI capabilities. Its accumulated architectural and product decisions are applied to new projects around their own requirements.
Product systems
- Multi-tenancy and workspaces
- Roles, permissions, and collaboration
- Pricing, payments, and subscriptions
- Editors, catalogs, CRM, and scheduling
Data and integrations
- REST APIs and webhooks
- Queues and background processing
- Import, export, and synchronization
- Search, analytics, and reporting
Reliability
- Validation and access control
- Idempotency and error handling
- Logs, monitoring, and diagnostics
- Migrations and product evolution without downtime
LLMs and AI
AI as a product capability and a development tool.
LLMs are used where they produce a measurable result. Critical actions stay in deterministic code, pass validation, and require explicit confirmation.
AI inside the product
- Agents with tools and boundaries
- RAG and knowledge-base search
- Data extraction and classification
- Conversations, guidance, and workflow automation
- Evals, logging, and quality control
AI in development
- Problem analysis and decomposition
- Prototyping solution variants
- Code generation against explicit contracts
- Tests, review, and static checks
- Documentation and change support
Architecture in practice
Product parts meet through explicit contracts.
Interfaces, server logic, data, and AI evolve independently while shipping as one manageable system.
const product = defineProduct({ interfaces: ['web', 'mobile'], core: ['api', 'workflows', 'access'], data: connect('postgres', 'redis'), intelligence: agent({ tools: ['search', 'actions'], policy: 'validated', }),}); await product.release();Technology
The stack follows the product.
Established technologies are selected for their ecosystem, support, and ability to evolve with the product.
Frontend
TypeScript · Vue · React · Nuxt · Next.js
Backend
Node.js · NestJS · Python · FastAPI · Django · PHP · Laravel
Data
PostgreSQL · MySQL · Redis · Queues · Vector search
Mobile
PWA · Flutter · React Native
Infrastructure
Docker · CI/CD · Cloud services · Monitoring
AI
LLM APIs · Tool calling · RAG · Embeddings · Evals
Engagement
Work can start from the current project stage.
New product
Idea validation, architecture, MVP, and the first production release.
Existing system
Feature development, refactoring, and removal of technical constraints.
Focused task
An AI module, integration, API, architecture review, or a complex technical area.
Pricing
Starting points for a project discussion.
These are baseline ranges for projects with a clear scope. A precise estimate follows a short review of the problem and the current system.
Audit and architecture
Problem review, product boundaries, key scenarios, and a technical plan.
- 1–2 weeks
- System outline
- Phased plan and estimate
Module or integration
A focused capability for an existing product: API, payments, AI, or automation.
- Isolated scope
- Current-code integration
- Verification and documentation
Website or customer portal
Design and development of a manageable website or customer-facing interface.
- Responsive interface
- Server logic
- Launch and analytics
System or SaaS MVP
The first working product scope with data, roles, and the key user journey.
- Architecture and prototype
- Core scenarios
- Production release
Project discussion
A short description is enough to begin.
Describe what needs to be created or changed, the current stage, and the expected outcome. An initial review can then identify the next practical step.