Our core principles of type safety, database integrity, and verifiable architecture.
We design systems to preserve data, release changes safely, and keep critical operations under control — with the engineering practices to prove it.
Critical business rules are enforced on the server so interfaces and integrations produce consistent results. The technical foundation uses FastAPI, Python 3.12, Pydantic, async I/O, and declarative AST rules.
Business data and critical operations must remain consistent through failures and upgrades. We use PostgreSQL 17, ACID transactions, and versioned Alembic migrations.
Next.js 15, React 19, Server-Side Rendering (SSR/SSG). Instant response, Core Web Vitals (LCP < 1.5s, INP < 200ms), and WCAG 2.2 AA compliance.
Automation should not lose requests, notifications, or background tasks during temporary failures. We use Transactional Outbox, Redis queues, and idempotent workers with delivery guarantees appropriate to each workflow.
Access to data and critical operations is granted only after explicit authorization checks. Fail-closed controls, BOLA/IDOR protection, PII filtering, and SBOM/Grype audits reduce access and supply-chain risk.
Updates should be released without putting the working system at unnecessary risk. We separate Local, Staging, and Production environments and use immutable Docker containers, health probes, and rapid rollback.
Engineering patterns used to protect business data, keep operations reliable, and make systems easier to evolve.
Web, Telegram Mini App, and background processes operate as one coordinated product so data and actions stay consistent across channels. PostgreSQL 17 provides the shared transactional foundation. Proven in KölikHub.
View KölikHub Practical CaseProject scope, dependencies, and estimates are calculated from explicit verifiable rules rather than hidden coefficients or subjective markups. The implementation uses a deterministic pricing engine and formal rule model.
Open FZM ConfiguratorA temporary network or external-service failure should not lose a request or notification. Transactional Outbox records the business event with the primary data in one ACID transaction so delivery can safely resume later.
Explore Automation LabIf the system cannot clearly prove that an action is authorized, it blocks the operation instead of guessing. This fail-closed model protects data and keeps security-relevant actions auditable.
Explore Solutions CatalogPragmatic, battle-tested modern engineering stack
We clarify requirements and constraints before development so the delivered system matches the real business process.
We validate the product against real scenarios and support quality claims with tests. Demo placeholders are never presented as finished software.
We separate access rights, protect client data and critical operations, and keep important actions traceable.
Describe the business need and we will help define the approach, project scope, and initial budget.
