ddd-crew/ddd-starter-modelling-process

If you're new to DDD and not sure where to start, this process will guide you step-by-step

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 59 minutes ago
Added to GitGenius on September 11th, 2026
Created on May 8th, 2020
Open Issues & Pull Requests: 13 (+0)
GitHub issues: Enabled
Number of forks: 569
Total Stargazers: 6,019 (+0)
Total Subscribers: 174 (+0)

Repository Insights (GitGenius)

Most active contributors

Sign in to see contributor activity.

Related repositories by overlapping contributors

No overlapping-contributor repos identified yet.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Issue API getrepoissuespagesummary failed: 429 Rate limit exceeded. Please try again later.

Detailed Description

The DDD Starter Modelling Process is a step-by-step guide for learning and applying domain-driven design.

The project addresses the challenge of knowing where to begin when adopting domain-driven design, a set of practices for aligning software architecture with business domains. Rather than presenting abstract theory, it provides a structured process that walks newcomers through the practical steps of modeling a domain, helping them understand how to identify core concepts, define boundaries, and structure their codebase around business logic.

This guide suits teams and individuals starting their DDD journey who need concrete direction rather than scattered resources. It works well for projects where domain complexity justifies the investment in careful modeling, and for organizations looking to establish a shared vocabulary between technical and business stakeholders. The process is particularly valuable for those uncertain whether DDD applies to their situation or how to begin implementation.

The project maintains active engagement with its community through issue discussions and pull requests, indicating ongoing refinement of the guidance based on user experience. The repository receives regular updates that reflect evolving best practices and clarifications to the modeling process itself.