.NET engineering for Real Estate. Shipped at 4× pace.

Where this pod lands today

Browse how this exact .NET and Real Estate combination maps to different talent markets.

Common questions

• Why hire a .NET pod specifically for Real Estate?

  Because .NET in Real Estate requires specific architectural patterns. undefined Devlyn's pods bring both the deep .NET ecosystem knowledge and the Real Estate regulatory context on day one.

• What does the .NET pod own end-to-end?

  Architecture, security review, and the .NET-specific patterns that production-grade work requires. .NET pods typically ship enterprise services with ASP.NET Core for high-performance REST and gRPC APIs, Azure-anchored backends leveraging Azure Functions, Service Bus, and Cosmos DB for cloud-native architectures, Blazor full-stack apps using WebAssembly or Server-Side rendering for interactive web UIs without JavaScript, and integration platforms connecting legacy .NET Framework systems with modern microservices through gradual migration patterns. Devlyn engineers ship .NET with EF Core for database access with compiled queries and split-query optimisation, MediatR and CQRS patterns for clean command-query separation, OpenTelemetry for distributed tracing, and modern minimal-API conventions for lightweight endpoint definitions — with production-grade performance profiling using BenchmarkDotNet and memory diagnostics.

• How do AI-augmented workflows help in Real Estate?

  AI-augmented .NET workflows lean on Cursor and Claude Code for controller and minimal-API endpoint scaffolding with proper model validation, EF Core entity configuration with Fluent API relationship mapping, migration authoring with proper data-seed handling, MediatR handler patterns for commands and queries with pipeline behaviours, and integration-test generation using WebApplicationFactory — all under senior validation that owns architecture decisions, EF Core query performance tuning (query plan analysis, N+1 detection, compiled queries), security review on ASP.NET Core Identity and authorization policy configuration, and .NET-specific patterns like dependency-injection lifetime management, middleware ordering, and background-service lifecycle management with IHostedService. Compression shows up strongest in endpoint scaffolding, EF Core configuration, and test infrastructure. In Real Estate, this compression is particularly valuable for accelerating The most common 2026 real-estate engineering trap is shipping a feature that depends on an MLS data-access agreement or mortgage-partner integration that has not been contractually finalised, creating a market-by-market deployment blocker. Second is fair-housing algorithmic-bias exposure in listing recommendation or tenant-screening algorithms that can trigger HUD enforcement action. Devlyn pods design around partner-contract reality and build fair-housing bias testing into the CI/CD pipeline. without compromising the compliance posture.

• What is the typical shape of this engagement?

  .NET engagements at Devlyn typically run as one senior backend engineer plus shared DevOps for $5,000–$9,000/month, covering service architecture, EF Core entity design, and Azure deployment pipeline. This scales to a two- or three-engineer pod when the roadmap splits into parallel lanes across enterprise-integration work (connecting legacy .NET Framework systems), Blazor frontend development, and Azure-platform infrastructure including Functions, Service Bus, and Cosmos DB management. Pods share a single retainer with flexible allocation. undefined