system-design-decomposition

You can analyze system design without source code by applying a structured phase-based methodology to map architecture, evaluate design decisions, extract principles, and draft an Architecture Decision Record.

The best way to study complex systems like Kafka or RocksDB is to decompose them into problem space, architecture maps, design decisions, and reusable principles to build a transferable mental model.

To create an Architecture Decision Record for an existing system, evaluate its design tradeoffs through a phased study, extracting problem space definitions, architecture maps, and generalizable principles for the final ADR.

The system design decomposition method requires no specific dependencies or components, allowing you to study messaging systems, storage engines, and concurrency primitives purely through architecture analysis.

Yes, you can compare design decisions and tradeoffs of different messaging systems by executing the phased study to derive transferable insights and generalizable principles from their high-level architectures.

You need a structured methodology to extract reusable patterns when you struggle to build a transferable mental model of how complex systems are put together and want to avoid deep source-code review.