The DDD + naming connection makes a lot of sense. Consistency probably matters more than finding the perfect name every time. Nice perspective.
Naming Is Not the Hardest Problem in Development
Valentine Shimanovsky
●3 ●23 ●67
calendar_today ago
• schedule2 min read
— Originally published at valentineshi.dev
2 Comments
Rijwan
•
Valentine Shimanovsky
•
@[Rijwan] Thanks :) Consistency in naming across a code base is definitely matters more that perfect naming from the start.
Two points here to mention. First, naming system gradual application. Starting with what feels well understood and expand the practice gradually. It will become a habit soon.
Second, building systems is about gradual domain knowledge acquisition. As a developer knows more, they have to revise the system. And revising names is normal practice.
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Senior Backend / Full-Stack / Founding Engineer specializing in complex business systems. Node.js, T... Show moreSenior Backend / Full-Stack / Founding Engineer specializing in complex business systems. Node.js, TypeScript, LLM Decision Workflows and AI-augmented accelerated product development.
I own - design and build production backend systems end-to-end in collaboration with product and engineering teams: from requirements, system architecture and contract-first APIs (OpenAPI) to ingestion pipelines, async orchestration, deployment, observability.
I actively use AI-augmented development workflows and spec-driven engineering to accelerate delivery while preserving the code validity and effectively minimizing defects. I design and implement AI/LLM programmatic decision workflows with constrained outputs, controlled vocabularies, and deterministic validation to ensure reliable behavior and eventual correctness in systems.
I ship high-reliability, low-firefight backend platforms for startups and early scale-ups, from day one built to be easily evolvable and fully prepared for continuous product change.
I use the following tools for that:
- Extended Model-Based Engineering (C4, UML/PlantUML for domain, architecture and fine sequence/state modeling)
- Domain-Driven Design (DDD) with Hexagonal Architecture
- Contract-First APIs (OpenAPI, AsyncAPI, JSON Schema validation, generated contracts enforcement)
- ATDD/TDD/E2E (Specification-by-Example, data providers, Testcontainers, integration-first backend testing)
- Event-driven and async workflow architectures (webhooks, queues, idempotence, state-based orchestration workflows)
- Deterministic automated code quality gates (linting, static analysis, git hook guards in CI, ~100% code coverage)
- Competent AI-augmented product engineering: OpenSpec SDD, agentic workflows, rapid prototyping, legacy refactoring, vibe-coding remediation, explicit engineering introduction
See my public engineering case: AI-Powered Image Generation & Publication System (Imagetron) at: https://valentineshi.dev/content/deliverables/K3aT7UX_RCC8ZO_fy9VinQ/ai-powered-image-generation-publication-system-imagetron
More details and other delivered public cases: https://valentineshi.dev Show less
I own - design and build production backend systems end-to-end in collaboration with product and engineering teams: from requirements, system architecture and contract-first APIs (OpenAPI) to ingestion pipelines, async orchestration, deployment, observability.
I actively use AI-augmented development workflows and spec-driven engineering to accelerate delivery while preserving the code validity and effectively minimizing defects. I design and implement AI/LLM programmatic decision workflows with constrained outputs, controlled vocabularies, and deterministic validation to ensure reliable behavior and eventual correctness in systems.
I ship high-reliability, low-firefight backend platforms for startups and early scale-ups, from day one built to be easily evolvable and fully prepared for continuous product change.
I use the following tools for that:
- Extended Model-Based Engineering (C4, UML/PlantUML for domain, architecture and fine sequence/state modeling)
- Domain-Driven Design (DDD) with Hexagonal Architecture
- Contract-First APIs (OpenAPI, AsyncAPI, JSON Schema validation, generated contracts enforcement)
- ATDD/TDD/E2E (Specification-by-Example, data providers, Testcontainers, integration-first backend testing)
- Event-driven and async workflow architectures (webhooks, queues, idempotence, state-based orchestration workflows)
- Deterministic automated code quality gates (linting, static analysis, git hook guards in CI, ~100% code coverage)
- Competent AI-augmented product engineering: OpenSpec SDD, agentic workflows, rapid prototyping, legacy refactoring, vibe-coding remediation, explicit engineering introduction
See my public engineering case: AI-Powered Image Generation & Publication System (Imagetron) at: https://valentineshi.dev/content/deliverables/K3aT7UX_RCC8ZO_fy9VinQ/ai-powered-image-generation-publication-system-imagetron
More details and other delivered public cases: https://valentineshi.dev Show less
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