The .NET community is exploring Dapper for data ops and EF Core for query performance, while also focusing on idempotency in AWS Lambda.
EF Core optimization tips are trending, alongside discussions on Dapper integration and ensuring AWS Lambda functions are idempotent.
There's interest in EF Core's AsNoTracking() for speed, using Dapper for data handling, and making Lambda functions reliably idempotent.
Conversations center on Dapper for data efficiency, EF Core query performance, and the importance of idempotency in .NET Lambda functions.
The .NET sphere is focused on EF Core enhancements, the perks of Dapper, and the stability of idempotent AWS Lambda functions.