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How to break large, complex systems into smaller, independently manageable parts — so different teams can build, own, and change them without stepping on each other.
Quick Navigation Start here — Why decomposition matters Strategies for decomposition Defining boundaries Coupling and cohesion Domain-Driven...
A governance-driven perspective explaining why software architecture cannot be automated because decision accountability and consequence ownership cannot be delegated to AI.
...exploring AI-generated architecture designs. The engineering team used an LLM to produce microservice decomposition proposals. The proposals looked plausible. The team was ready to build from them. We stopped...
A practical architecture technique showing how Git commit patterns reveal structural instability, boundary violations, and ownership gaps in software systems.
...module boundaries were fictional; teams crossed them daily. We used the data to justify a structured decomposition, targeting the three modules that were the highest-traffic coupling points. After the decomposition,...
How the components of a solution are structured internally, how they communicate with each other, and how they connect to the data and processes they depend on.
...integration patterns, API contracts, interface design, data ownership, and process mapping — that make a decomposition real. Each layer answers a different question: Application — what is each part responsible...
How data strategy and AI direction connect to architecture — covering data quality, governance, data architecture for AI, AI enablement, responsible AI, data products, data mesh, and building a data and AI roadmap.
...governance gaps. The architecture-to-data connection: Architecture decision Data consequence Service decomposition Determines who owns each data domain Event-driven communication Creates data flows between...
How AI-powered architectures that plan, act, and use tools autonomously are reshaping integration and workflow — covering agentic patterns, MCP and A2A protocols, orchestration frameworks, human-in-the-loop design, guardrails, observability, and economic risk management.
...Agent architecture components: Planner — breaks goals into executable steps. LLM-based planning, task decomposition. Tool registry — defines available tools and their contracts. MCP servers, function definitions....
Proven, reusable solutions to recurring structural problems — each with known trade-offs that make it suited to some contexts and unsuitable for others.
...all layers? If the last two are "yes," layered is becoming a constraint. Time to consider a different decomposition. Microservices — When it works, when it doesn't, and what it actually costs When a system...
How to build business capability maps, connect them to technology, and link capabilities to strategic outcomes — the bridge between business strategy and technical architecture.
...this organisation do?" The map is the fastest orientation tool. Example — capability-driven solution decomposition: "We are building a new customer platform." → Which capabilities does it serve? → Customer...
Every major prompt engineering technique — from basic clarity to advanced agentic reasoning. Not a list of tips. A mental model you can apply to any task, any tool, any context.
...Abstraction-first prompting Least-to-Most Solve the easy parts first, stack them into the hard answer Decomposition prompting Prompt Chaining One task per prompt, outputs become inputs Pipeline / sequential...