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Validation traces every requirement to its implementation and every implementation back to a requirement - gap analysis, the traceability matrix, holdout scenarios the agent never sees, and the two feedback arrows that make the phase more than an audit.
A validated POST is parsed, re-serialised and parsed again on its way to a schema compiled fresh per request - and when it fails validation the caller gets HTTP 200.
FastEndpoints wires FluentValidation into the pipeline by request-DTO type, runs validators as singletons, and shares one failure list between binder, validator and handler. The lifetime rule is the part that bites. Part 5 of FastEndpoints in Depth.
The platform bundled a client-side validation framework - one file of it twice - and wired none of it, hand-stitching every real check inside modal callbacks with manual error classes and keyup character counters.
Pick the one closest to the role. Each is two pages and carries the same facts.
Applied AI
Agentic AI & Cloud Engineer · multi-agent systems, RAG and MCP on AWS
Cloud & .NET
C#, .NET 10 and ASP.NET Core microservices on AWS and Azure · Terraform & AWS CDK
Data Engineering
AWS lakehouse · Kinesis, Glue (PySpark), Apache Iceberg, Lake Formation
Everything
All three domains, with the standout project from each