Enterprise DAL Builder for C# & Linq2Db
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Auto-generate production-ready data access layers with built-in auditing, soft-delete, multi-tenancy, and row-level security enforcement.
Added Dec 2, 2025
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The Problem
Enterprise C# developers waste weeks manually implementing cross-cutting concerns like auditing, soft deletes, and multi-tenancy in their data access layers. This leads to security vulnerabilities, inconsistent application behavior, and mountains of repetitive boilerplate code that's prone to human error and difficult to maintain across large teams.
Potential Solution
A CLI tool and Visual Studio extension that extends Linq2Db's scaffolding engine with custom interceptors to automatically generate type-safe DAL classes. It injects security interfaces (ITenanted, IAuditable, ISoftDeletable) directly into generated code and creates composable global query filters that enforce enterprise policies at the database level—moving critical security logic out of business code and into a non-bypassable infrastructure layer.
Why Now?
With escalating data privacy regulations (GDPR, CCPA) and the dominance of SaaS/multi-tenant architectures, enterprises require bulletproof data security that can't be accidentally omitted by developers. The growing adoption of Linq2Db for high-performance scenarios has created a tooling gap that manual blog-post-driven solutions cannot sustainably fill.
Building an Enterprise Data Access Layer: The Foundation (Start of a series)
I've started a new blog series on building an enterprise-grade Data Access Layer (DAL) in C#. This first post covers the "why". Why a robust, automated DAL is crucial for data integrity, security, and consistent application behavior beyond basic CRUD operations. The series will detail how to implement key cross-cutting concerns directly within the DAL using Linq2Db, saving your business logic from a lot of complexity. Feedback and discussion are welcome! Link: https://byteaether.github.io/2025/building-an-enterprise-data-access-layer-the-foundation/
Enterprise Data Access Layer Part 2: Database Design and ULID Primary Keys
Hi all, I've published the second part of my series on building a robust, enterprise-grade Data Access Layer (DAL) using C# and Linq2Db. This post focuses on foundational decisions crucial for scalability: * Adopting a **database-first** philosophy. * Implementing **ULIDs** as primary keys to leverage sortability for write performance and natural clustering. * Structuring the C# code using a custom **Linq2Db scaffolding interceptor** to inject interfaces (`IIdentifiable<Ulid>`) and automate type mapping. This ensures a clean, extensible codebase via partial classes. If you are a senior engineer or architect dealing with multi-tenancy or high-volume data, check out the full technical breakdown and the SQL schema here: [https://byteaether.github.io/2025/building-an-enterprise-data-access-layer-database-and-code-structure/](https://byteaether.github.io/2025/building-an-enterprise-data-access-layer-database-and-code-structure/)
[Article] Building a Robust Enterprise DAL: Automated Auditing with C# and Linq2Db
Hey all, I just published the next part of my [series](https://byteaether.github.io/series/enterprise-dal/) on building an Enterprise Data Access Layer. This one focuses on solving a common problem: reliably enforcing audit fields. We cover: * The architectural necessity of separating Technical CRUD (`INSERT`) from Business-Logical CRUD (`CREATE`). * How to use a scaffolding interceptor to automatically sync C# interfaces (`ICreatable`) with your database schema. * Implementing extension methods to transparently inject `CreatedAt` and `ModifiedAt` timestamps into all operations. This is all about data integrity and reducing developer cognitive load. Check out the full article for the implementation details and code examples: https://byteaether.github.io/2025/building-an-enterprise-data-access-layer-automated-auditing/
[Article] Automated Soft-Delete for Enterprise DALs: A Composable Architecture
Tired of missing `WHERE RemovedAt IS NULL` clauses? We detail a professional approach to building a robust, enterprise-grade soft-delete system using Global Query Filters in Linq2Db. The article covers: * Solving the association filtering problem (auto-filtering nested comments). * Creating a **composable filter architecture** to aggregate multiple behaviors (soft-delete, multi-tenancy) into a single rule. * Transparently converting `DELETE` to an auditable `UPDATE` that sets the `RemovedAt` timestamp. A must-read for senior engineers and software architects looking to build a clean, reliable, and auditable Data Access Layer. Full article: https://byteaether.github.io/2025/building-an-enterprise-data-access-layer-automated-soft-delete/
[Article] Building a Non-Bypassable Multi-Tenancy Filter in an Enterprise DAL (C#/Linq2Db)
Hey all, We've published the next part in our series on building a robust Enterprise Data Access Layer. This one focuses on solving a critical security concern: **multi-tenancy filtering**. We cover: * How to make your `IDataContext` tenant-aware. * Defining a composable filter via an `ITenanted` interface. * Solving **Projected Tenancy** (when an entity's tenant ID is derived from a related entity) using Linq2Db's `[ExpressionMethod]`. The goal is to move security enforcement from business logic into the DAL, ensuring it's impossible to query data from the wrong tenant. Check out the full article here: https://byteaether.github.io/2025/building-an-enterprise-data-access-layer-composable-multi-tenancy-filtering/ Let me know your thoughts or alternative approaches to this problem!
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