How fast can the pod start?

Within 24 hours of greenlight after a 3-day free trial. The trial runs against a real scoped task, so you see the engineering depth before you sign anything. Replacement is free within 14 days if the fit is wrong.

Devlyn AI · .NET

.NET pods, owned by us. Embedded with you.

Senior .NET engineers under one retainer, with AI-augmented workflows that compress 100 hours of typical work to 25. Deployed in 24 hours.

Where $.NET fits

.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.

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.

.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.

Book a discovery call →

Where .NET pods land today

Six combinations that show up most often in the last few quarters of .NET discovery calls — vertical, geography, and the named-risk pattern each engagement designed around.

.NET · Fintech · London

.NET for Fintech in London

The most common 2026 fintech engineering trap is shipping a feature that depends on a partner-bank integration that has not been contractually signed or technically certified, creating a rollback scenario that wastes months of engineering effort. .NET pods compress the work — . On the GMT / BST calendar, london fte hiring runs 3–5 months for senior fintech and ai roles, with offers regularly contested by us tech giants opening uk offices.

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.NET · Insurtech · Atlanta

.NET for Insurtech in Atlanta

The most common 2026 insurtech engineering trap is shipping pricing or eligibility logic that fails algorithmic-fairness review or state-regulator audit, creating enforcement risk that can halt product distribution in affected jurisdictions. .NET pods compress the work — . On the Eastern (ET) calendar, atlanta fte pipelines run 3–5 months for senior fintech and healthtech roles.

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.NET · Healthtech · Philadelphia

.NET for Healthtech in Philadelphia

The most common 2026 healthtech engineering trap is shipping a clinical feature that has not been reviewed against HIPAA BAA requirements or FDA SaMD classification boundaries, creating regulatory exposure that can halt the entire product. .NET pods compress the work — . On the Eastern (ET) calendar, philadelphia fte pipelines run 3–5 months for senior healthtech roles.

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.NET · Govtech · Washington DC

.NET for Govtech in Washington DC

The most common 2026 govtech engineering trap is shipping a feature that fails Section 508 accessibility testing or FISMA audit-trail requirements late in the procurement evaluation cycle, disqualifying the product from the award after months of engineering investment. .NET pods compress the work — . On the Eastern (ET) calendar, dc fte pipelines for cleared roles run 6–9 months.

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.NET · B2B SaaS · Munich

.NET for B2B SaaS in Munich

The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. .NET pods compress the work — . On the CET / CEST calendar, munich fte pipelines run 3–5 months for senior backend roles.

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.NET · Logistics · Chicago

.NET for Logistics in Chicago

The most common 2026 logistics engineering trap is shipping a routing-optimisation feature that fails under carrier-API outage or peak-season volume surge, creating delivery-promise violations at the worst possible time. .NET pods compress the work — . On the Central (CT) calendar, chicago fte hiring runs 3–5 months for senior roles with reasonable base salaries vs coast hubs.

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What .NET depth at Devlyn looks like

Common use cases

AI-augmented angle

Engagement shape & pricing

Ecosystem fluency

.NET ecosystem depth covers the full modern surface: ASP.NET Core with minimal APIs and controller-based endpoints, EF Core for ORM with migrations, compiled queries, and split-query support, MediatR for CQRS with pipeline behaviours, Dapper for lightweight direct SQL access, Hangfire for background job scheduling with dashboard, Polly for resilience and transient-fault handling with retry and circuit-breaker patterns, Serilog for structured logging with sink flexibility, OpenTelemetry for distributed tracing, xUnit for testing with theory-based parametrised tests, FluentAssertions for expressive test assertions, and Azure SDKs for cloud-native integration. Devlyn engineers operate fluently across this entire surface with production-hardened patterns for enterprise-grade .NET services.

Real outcomes

Calenso · Switzerland

4× productivity

5,000+ integrations on the platform after AI-augmented engineering replaced manual workflows.

Creator.ai

6 weeks → 1 week

6× faster delivery, 2× output per engineer, 50% leaner team.

Klaviss · USA

$4,800/mo pod

Two engineers + PM + shared DevOps. Real-estate platform overhaul shipped in 8 weeks.

Haxi.ai · Middle East

AI engagement at scale

Real-time, context-aware AI conversations across platforms — spec to production by one pod.

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Verticals where .NET ships well

.NET pods most often run engagements in the verticals below. Each links through to a vertical-level hub with named risks, compliance posture, and key metrics.

Metros where .NET pods deploy

Hand-picked cities where .NET engagements show up most. Each city has its own time-zone alignment and hiring-climate notes on the metro hub.

Common questions about .NET engagements

What does a .NET pod actually 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 does AI-augmented .NET differ from a single contractor using AI tools?

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. The 4× compression comes from pod-level workflow design, not from individual tool adoption.
What does a .NET engagement typically cost?

.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.
Which .NET ecosystem libraries does Devlyn cover?

.NET ecosystem depth covers the full modern surface: ASP.NET Core with minimal APIs and controller-based endpoints, EF Core for ORM with migrations, compiled queries, and split-query support, MediatR for CQRS with pipeline behaviours, Dapper for lightweight direct SQL access, Hangfire for background job scheduling with dashboard, Polly for resilience and transient-fault handling with retry and circuit-breaker patterns, Serilog for structured logging with sink flexibility, OpenTelemetry for distributed tracing, xUnit for testing with theory-based parametrised tests, FluentAssertions for expressive test assertions, and Azure SDKs for cloud-native integration. Devlyn engineers operate fluently across this entire surface with production-hardened patterns for enterprise-grade .NET services.
How fast can the pod start?

Within 24 hours of greenlight after a 3-day free trial. The trial runs against a real scoped task, so you see the engineering depth before you sign anything. Replacement is free within 14 days if the fit is wrong.

When the next move is a conversation

Book a 30-minute discovery call. We will scope a .NET pod against your roadmap and timeline. No contracts. No commitment. Or run the Pod ROI Calculator against your current vendor's burn first.