Stop building anemic domain models. Use AI to discover boundaries, enforce business rules, and implement complex architectural patterns with senior-level judgment.
Domain-Driven Design provides the strict boundaries that allow AI to generate highly accurate, production-ready code without context drift.
Feed AI your raw business requirements. Use specifically crafted "Discovery Prompts" to extract subdomains and identify Bounded Contexts. AI acts as a sounding board for your Context Map.
Tired of writing the same Value Object patterns? Use AI to generate robust, immutable domain objects and aggregate roots that strictly enforce invariants.
Learn the specific mental models required to guide AI through high-complexity architectural tasks.
Learn how to use AI to find clean boundaries in messy legacy codebases.
Enforce domain terminology across your entire AI-assisted codebase.
Prompt AI to write logic that protects the integrity of your aggregates.
Use LLMs to brainstorm domain events and side effects during design.
Delegate the heavy lifting of repositories and DTOs to AI.
Use AI to detect 'Domain Leaks' where business logic slips into the app layer.
On its own, no. But with senior-led context control, AI is an incredible partner for identifying subdomains and mapping bounded contexts. We teach you how to provide the 'Ubiquitous Language' that makes AI architecture-aware.
Yes. We focus on using AI to write boilerplate-heavy DDD patterns like Entities, Value Objects, and Repositories correctly on the first try, while ensuring business logic stays in the domain layer.
Actually, DDD provides the boundaries that AI needs to be effective. By breaking systems into bounded contexts, you give AI a 'sized chunk' it can actually handle without hallucinating external dependencies.
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