Executive Brief · 5-minute read

Stay in your story. Ship enterprise .NET.

The hidden cost of software development is losing business meaning in technical translation. FlexBase removes that tax. Your team thinks about the order — not which controller, which DTO, which handler.

95%Less Boilerplate
70–80%Cost Reduction
65–75%Faster Delivery
30 minPer Module
The problem

Two different Monday mornings

❌ Traditional development

"We're still on the Order module. CRUD endpoints are done, but we're debugging the validation layer. DTOs took longer than expected. Another week before Payment."

Timeline: 2–3 weeks per module.

✅ With FlexBase

"We generated the Order module this morning — REST API, database, message bus events, validation. We spent the afternoon on our custom pricing rules. Tomorrow we start Payment."

Timeline: 30 minutes per module.

What you get

Enterprise patterns, zero effort

Write your domain model and business rules. FlexBase generates everything else.

🏗

Clean Architecture

Domain, Application, Infrastructure properly separated. Built in from day one.

CQRS Pattern

Commands and queries automatically separated for performance and scalability.

📡

Event-Driven

Message-bus integration with RabbitMQ, Azure Service Bus, or Amazon SQS.

🎯

Domain-Driven Design

Rich domain models with business logic where it belongs. DDD enforced automatically.

🔄

Auto-Generated APIs

Complete REST endpoints, DTOs, validation, and Swagger documentation.

📈

Modular → Microservices

Start as a modular monolith, evolve to microservices when business demands. No rewrites.

Architecture principles

Opinionated where it matters. Open where you need it.

FlexBase doesn't invent new patterns — it codifies the ones the .NET community already trusts, and applies them consistently so your codebase reads the same on day 1 and year 5.

🏛

Domain at the centre

Aggregates, value objects and domain events live in their own pure project — no EF, no ASP.NET, no framework leakage. Business logic stays testable and portable.

DDD · Clean Arch
🔀

Commands and queries split

Writes go through handlers with validation, transactions and domain events. Reads go through dedicated query handlers and DTO projections — independently optimisable.

CQRS
📨

Outbox by default

Domain events are persisted in the same database transaction as the aggregate, then published asynchronously. No lost messages, no dual-write bugs.

Transactional Outbox
🧱

Modular monolith first

Each business capability is a vertical slice with its own handlers, mappers and storage boundary. Promote a module to its own service the day it earns its own deployment cadence.

Modular · Evolvable
🔌

Pluggable infrastructure

Repositories, message bus, cache and outbox sit behind small interfaces. Swap EF Core for Dapper, RabbitMQ for Azure Service Bus, Postgres for SQL Server — without touching domain code.

Hexagonal · Ports & Adapters
🛡

Resilience as a contract

Every external call is wrapped in retry, timeout and circuit-breaker policies. Failure modes are explicit — never hidden behind a hopeful await.

Polly · Failsafe
🔒

Secure & observable by default

Authentication, authorization, structured logging, OpenTelemetry traces and health endpoints are wired in from the first generated endpoint — not bolted on before go-live.

OWASP · OTel
📐

Convention over configuration

Folder layout, naming, DI registration and validator discovery follow a single convention across every module. New engineers find what they need without reading a wiki.

Consistency
🧬

Generated code is readable code

Output is idiomatic C# 14 / .NET 10 — not opaque expression trees or runtime metaprogramming. You can step through it, diff it, and review it in a normal pull request.

No magic
🧪

Testable from the first line

Handlers, validators and domain logic ship with seams for unit testing. Integration tests run against an in-memory bus and an ephemeral database — fast feedback, real coverage.

xUnit · Testcontainers
Enterprise grade

Built for production from line one

🛡 Failsafe architecture

  • Circuit breaker — prevents cascade failures
  • Retry with exponential backoff
  • Timeout policies — no hung requests
  • Bulkhead isolation between services
  • Graceful fallback strategies

📈 Horizontal scaling

  • Stateless API design
  • Distributed caching (Redis)
  • Kubernetes-ready health checks
  • Elastic auto-scaling under load
  • Zero-downtime deployments
Your code doesn't change to scale. Scaling is infrastructure configuration — not application rewrite.
Our philosophy

Permanent foundations, not temporary stages

A temporary stage can hold thousands for an event. A structure meant to serve generations requires a foundation that goes deep. While "low-code" platforms offer quick stages, FlexBase builds permanent structures — readable, ownable, evolvable C# you can hand to any .NET engineer in the world.

See how it works →