ai-era-architecture-principles

To decide between a large framework or custom implementation, apply a structured decision matrix assessing dependency risk, maintainability, and project scope. This approach evaluates trade-offs to determine if a framework adds value or unnecessary complexity to your architecture.

Architecture principles for Claude Code projects include the Micro-Dependencies Principle, Perfect Fit Principle, and Full Control Principle. These three principles guide framework choices by balancing dependency bloat and opacity against delivery speed.

You should avoid large frameworks in AI-enabled applications when they introduce dependency bloat, opacity, and slower delivery. Use specific criteria to evaluate whether a framework adds unnecessary complexity rather than fitting your project scope and technology selections.

The micro-dependencies principle improves software maintainability by minimizing large framework adoption in favor of domain-specific abstractions. This reduces dependency bloat and opacity, ensuring deterministic outcomes and full control over your codebase.

Apply the framework versus custom decision matrix during architecture planning by reviewing the three principles and assessing dependencies, risk, and maintainability. A real-world pdf2anki example illustrates trade-offs between LangChain-like solutions and custom abstractions.