Posts tagged Software Architecture — AI × software engineering, made practical.
You will learn the four levels of the C4 model and how to write them as a plain-text ARCHITECTURE.md that people and coding agents both read before changing code.
You will learn why architecture keeps the shape of a team after the team changes, how departures and AI-driven team shrinks leave services without owners, and how to treat every org change as an architecture decision.
Learn what CQRS actually splits between write and read models, why projection lag becomes a permanent fact you have to own once you adopt it, and how to expose staleness as data for both dashboards and AI agents.
A plain explanation of why teams and AI agents really reach for CQRS — not to scale reads, but because different consumers of a shared model disagree on what 'current state' means — and how to tell that apart from an actual load problem.
If your agent fleet keeps stalling on one PR while everyone else waits, you didn't get unlucky — you sharded your work the same way databases have been getting it wrong for twenty years, and the fix is just as old.
Borrowing Raft's leader election into a multi-agent LLM pipeline makes the design doc look rigorous — right up until you notice it can't stop the one thing that actually goes wrong: two confident agents disagreeing.