— 01
SaaS service
Web Application
Development
from Scratch.
I'll build a web application tailored to your needs: from idea, structure, and interface to backend, frontend, database, integrations, and launch.
Full Cycle
Backend
Frontend
DB
Integrations
Experience
15+
Support
After release
Areas
What I build
Choose a product type —
I'll help with each one
I'll help with each one
SaaS Development
A full-featured multi-tenant SaaS: pricing plans, billing, roles, data isolation, and scalable architecture.
ПодробнееClient Portal Development
A client portal: authentication, profile, requests and documents, integrations with your systems.
ПодробнееBackend API Development
Backend and REST / GraphQL API design and development: business logic, database, authentication, and documentation.
ПодробнееReact / Next.js Frontend Development
Modern frontend with React and Next.js: SSR, fast UI, SEO, and integration with any backend.
ПодробнееBusiness Platform Development
An internal platform for your company's processes: automation, roles, reports, and integrations in one system.
Подробнее01 — Who it's for
Who needs web application development from scratch?
— 02
Client or partner portal
— 03
CRM or internal management system
— 04
Marketplace or catalog with user accounts
— 05
Booking, request, or document management service
— 06
Web platform with roles, access controls, and integrations
02 — What's included
Complete technical cycle for building a web application
scope · end-to-end
I handle frontend, backend, and infrastructure tasks
No need to hire separate contractors for each piece of the product. One developer, one process, one point of accountability — from the first screen to the live server.
React / Next.js
TypeScript
Node.js / NestJS
PostgreSQL
Docker
CI/CD
01
Task and requirements analysis
Why this is harder than it looks
The client knows what they want to get, but not how it should work internally. Requirements are framed at the level of 'like the competitor, but better' — without roles, scenarios, or constraints. Development starts without a real understanding of scope, and that's the main cause of rework.
Hidden dependencies that surface later
At the start, things that critically affect architecture often aren't visible: who works in the system and how often, whether offline mode is needed, what data can't be lost, whether there are regulatory requirements. Each missed question means rework two months later and a conflict of expectations.
How I handle this
I run a structured discovery session: user roles, key scenarios, business goals, constraints. The result is captured in a brief Product Brief — 1 – 2 pages with priorities, MVP scope, and an explicit list of what's not in the first version. This lets both sides work with aligned expectations.
02
Application architecture design
Guesswork architecture is expensive
Choosing technologies and structure without analyzing specific requirements leads to a rewrite in 3–6 months. A monolith that grew into an unreadable monster. Microservices where a modular monolith would have sufficed. The wrong database for the workload pattern — all typical consequences of a rushed start.
What needs to be designed before writing code
The entity schema and relationships. Module boundaries and areas of responsibility. Contracts between layers: API, events, queues. Authentication and authorization strategy. Integration points with external services. Without these decisions, every new module adds architectural debt.
How I handle this
I map out the entity schema and data flows before the first line of code. I choose the architecture for the specific requirements: a monolith with the ability to extract services later. I ask 'what happens when load grows 10x' at the design stage — it's cheaper than reworking a live system.
03
Backend logic development
Where the main debt accumulates
Business logic hardwired into controllers is a time bomb. When rules change (and they always do), you have to change code in ten places. Absence of layer separation makes testing impossible, and new developers spend days getting up to speed.
Race conditions and transaction problems
Parallel requests that read and write the same data without isolation lead to inconsistent states. Double charges, lost updates, 'phantom' records — these are classic problems that don't reproduce in development and break the business in production.
How I handle this
I apply clean architecture with explicit layer separation: the controller handles the request, the service executes the logic, the repository works with data. Critical transactions are wrapped with the appropriate isolation level. I cover business logic with unit tests. I document the API through OpenAPI during development, not after the fact.
04
Frontend interface development
Components that can't be reused
When every screen is written as a separate 'island', any design change becomes a multi-day task. State is scattered across components without a clear hierarchy — and the button in the header doesn't know what's happening in the form at the bottom of the page.
Performance that users notice
Slow initial rendering, layout shift when data loads, freezes while scrolling on mobile — these aren't bugs, they're consequences of architectural decisions made early on. Fixing this in a finished application is far harder than building it right from the start.
How I handle this
I build a component library with a clear split between 'dumb' (UI) and 'smart' (logic) components. I apply centralized state management only where it's actually needed. I track Core Web Vitals from the first commit: LCP, CLS, INP. I use SSR and ISR for pages where they provide a meaningful benefit.
05
Database setup
Queries without indexes — a silent disaster
With a thousand records, everything is fast. With a million, a single reports page takes 30 seconds to load. Poorly designed relationships and a complete lack of indexes is a problem that's hard and costly to fix in a live system with real data.
N+1 and other ORM problems
An ORM simplifies data access but hides how many queries are actually being executed. A list of 100 users with their latest orders can turn into 101 database queries instead of one. Without explicitly analyzing SQL logs, this goes unnoticed until the first load spike.
How I handle this
I design the schema with the most frequent queries in mind — indexes are established before the first deploy. I use EXPLAIN ANALYZE to verify query plans. I set up regular backups with restore verification — a backup no one has tested is not a backup.
06
External service and API integration
When someone else's service breaks yours
A third-party API with five-minute outages takes down your payment page — and with it, your conversion. A partner changing their API version without notice breaks functionality that worked fine for a year. This isn't a question of 'if' — it's 'when'.
Missing error handling as a source of incidents
An uncaught exception from an SMS gateway that didn't respond in time crashes the entire request and the user sees a 500. Without retry logic and graceful degradation, every external dependency is a potential point of failure for the entire system.
How I handle this
I wrap all external calls in adapters with retry logic, timeouts, and proper error handling. For critical integrations I implement a circuit breaker: when errors accumulate, the system temporarily falls back to degraded behavior rather than crashing. I write integration tests with mocked responses — so integrations can be verified without calling the real service.
07
Basic security and access control
Vulnerabilities that aren't visible in development
SQL injections via unparameterized queries, XSS via unchecked user input, CSRF — this is the OWASP Top 10, still found in production today. The problem isn't ignorance — it's the rush: 'we'll add security later'.
Excessive permissions — a hidden risk
A manager who sees all clients' data because 'it's easier to configure that way'. An API key with admin privileges in a config file. These situations don't feel like a threat — until a leak or an internal incident happens.
How I handle this
I use parameterized queries and an ORM with escaping by default. I configure RBAC with the principle of least privilege: each role gets only what it needs for its tasks. Before launch, I run through the OWASP Top 10 checklist and document found risks with priorities.
08
Testing key scenarios
'Works on my machine'
This isn't a joke — it's a diagnosis. Differences in dependency versions, local environment variables, database state — all of this makes 'manual testing' unreliable. Regressions after every deploy are the primary symptom of missing automated checks.
What and how to test
Covering every line of code with unit tests is expensive and largely pointless. Critical business logic, edge cases, integrations with external services, and key user scenarios — those are the priorities. One good e2e test that verifies the full checkout flow is worth more than a hundred getter tests.
How I handle this
I describe critical user scenarios as automated e2e tests. I configure a CI pipeline that runs tests on every push — a broken commit doesn't reach the main branch. I supplement automation with a short smoke checklist for manual verification before release.
09
Launch preparation
The production environment is not the development environment
Different Node/PHP/Python versions, different environment variables, missing extensions — all of this shows up on release day. 'Works locally' and 'works in production' are different things without a reproducible environment.
No monitoring means clients notice outages before you do
Without alerts for 500 errors, service unavailability, or anomalous response time increases, you learn about problems from support tickets. That's hours of downtime and lost trust that could have been avoided.
How I handle this
I use Docker and docker-compose for a reproducible environment: if it works locally in a container, it works on the server too. I set up error monitoring through Sentry and uptime alerts. I organize deployment through CI/CD with one-command rollback — not 'we'll rebuild manually', but a reproducible process.
10
Post-release support
Code without context is someone else's code
A developer who 'delivered and left' leaves behind a system nobody understands. No description of architectural decisions, no documentation of non-obvious parts, no ENV file with explanations. Every follow-up task takes three times longer than it should.
Technical debt as the new normal
After release, pressure to add new features increases sharply. Without dedicated time for refactoring and quality control, debt accumulates exponentially. A year in, the product may be in a state where a rewrite is cheaper than maintenance.
How I handle this
I write a README describing the architecture, key decisions, and non-obvious parts. I set up basic analytics and user behavior logging — so development is driven by data, not guesses. I stay available for quick fixes of critical bugs and discussions of the next steps in product growth.
03 — How we work
Four stages — from discussion to launch
Discuss the task
We break down what the application should do, who will use it, what processes need to be automated, and what outcome you're looking for.
Define the structure
We identify the main modules, user roles, key scenarios, integrations, and technical constraints.
Build the application
I create the frontend, backend, database, admin area, and necessary integrations. I show intermediate results throughout.
Test and launch
We test the main scenarios, fix found issues, prepare the project for deployment, and launch it in the production environment.
01 · Discovery
Discuss the task
What happens at this stage
We break down what the application should do, who will use it, which processes need automating, and what result you want in concrete numbers.
What's needed from you
Tell me about the task and your current processes — how they work now and where they hurt. No formal documents needed; I'll help shape the requirements.
What you get
A shared understanding of scope, priorities, and the expected result. This is the basis for an accurate estimate of timeline and cost with no surprises later.
02 · Architecture
Define the structure
What happens at this stage
We define the main modules, user roles, key scenarios, integrations, and technical constraints. I assemble it all into the structure of the future application.
Why before the code
A thought-through role and data structure from day one saves costly rework when a second user type or a new integration appears.
What you get
An agreed map of the application: modules, access rights, and links between them. Development then follows this plan without improvisation.
03 · Build
Build the application
How the work goes
I build the frontend, backend, database, admin area, and integrations. I show intermediate results throughout — regularly, not only at the end.
Your control over the process
Tasks and statuses are visible in crm.ptuzov.ru. You track what's in progress and what's done, and adjust details as we go rather than after the fact.
What you get
A working application with admin area and integrations, ready for final testing. Every module was already shown and approved.
04 · Launch
Test and launch
What happens at this stage
We test the main scenarios, fix the issues found, prepare the project for release, and launch it in the production environment.
Handover
I move it to your server and domain, set up metrics, and hand over all access. The project is fully yours — no lock-in to the contractor.
What comes next
I stay available for follow-up and growth. Since I know the whole codebase, new tasks are handled fast without deciphering someone else's code.
04 — Result
What you get after web application development
Not a set of screens, but a
working web application
You get a product you can use, grow, and scale. The code, architecture, and logic are structured for ongoing maintenance — by you or any other developer.
A production-ready application
Deployed on a server, accessible to users, verified against core scenarios.
Clean code and architecture
A structured repository that can be handed off to a team or developed further independently.
A foundation for growth
New features are added without rewrites — the product grows with the task.
Why start with a conversation
A short talk saves weeks of work
At the start, it's not always clear how long development will take or which features are really needed in the first version. A brief discussion helps define the right scope, avoid unnecessary complexity, and get a realistic estimate. The scope is fixed before work begins — no hidden costs.
I usually respond within an hour
first call is free
working together
online
<1 day
response time
1:1
direct, no middlemen
0 ₽
for the first call
Quick replies
within the day
Single developer
full context, always
05 — FAQ
Common questions about web application development
How much does web application development cost?
The cost depends on complexity, the number of roles, integrations, interfaces, and business logic. After discussing the task, a preliminary estimate can be prepared.
Can we start without a technical specification?
Do you handle only the backend, or the frontend too?
Can the project be developed further after launch?
06 — Other services
Related engagement formats
from the services catalog
see all →
see all →