Architecture drift across teams
Even with clear guidelines, each team introduces small deviations. Over time, these deviations accumulate into incompatible styles, duplicated patterns and higher maintenance costs.
For software architects, team leads and managers
Make architecture guidelines executable, not optional.
JoinedWorkz helps you move architecture decisions into generators that create compliant persistence, APIs and controllers – so teams follow the same patterns without extra effort and your developers stay in control of the code.
The problems JoinedWorkz addresses
JoinedWorkz is not another “magic” platform. It focuses on a very specific set of problems that appear again and again in larger teams and organizations.
Limited reuse of design work
A lot of effort goes into defining good patterns for persistence, APIs and controllers. Without generators, these decisions are reinvented or reimplemented for every new project.
API-first without real backing
API specifications may be written in isolation and then diverge from the implementation. Teams end up with OpenAPI files no one fully trusts.
Onboarding takes too long
New developers must dig through code to understand the system. Diagrams and overviews are often outdated, and nobody has time to keep them current.
Difficulty enforcing standards
Code reviews and manual checks are not enough to ensure consistent use of architecture patterns across a portfolio of applications.
Fear of locking teams in
Many model-driven tools promise productivity but introduce strong lock-in. Once the generator or platform is abandoned, the project is at risk.
What outcomes you can expect
JoinedWorkz helps you standardize what should be standard, while keeping room for business-specific design. The goal is not maximum automation at any cost, but a balance between efficiency and control.
Higher adoption of architecture rules
Architecture decisions are encoded in generators, not just documents. Every time code is generated, the rules are applied automatically – without extra effort in each project.
Consistent APIs and persistence
APIs and persistence layers follow the same patterns across applications. This makes integration, operations and cross-team collaboration simpler and more predictable.
Faster start for new projects
New projects do not start from empty repositories. The initial structure for persistence, APIs and controllers is generated from the model, aligned with your standards.
Shorter onboarding time
The model gives a condensed overview of the system. Because the code is generated from it, the model and implementation stay aligned, which helps new team members get up to speed.
Better cost control
Investments into custom generators are amortized across multiple projects. Instead of repeatedly building and re-building the same patterns, you maintain them in one place.
Reduced risk of tool lock-in
Generated code is standard code that can be checked in and maintained manually if needed. You are not forced to keep a proprietary runtime around just to keep your systems running.
How JoinedWorkz fits into your stack
JoinedWorkz is designed to work with tools and practices you already use: Git, Maven and common Java backend stacks such as Spring Boot. It does not replace your business logic, CI/CD or API management tools.
Works with existing repositories
The DSL is text-based and lives in version control next to your code. You use standard diff and merge tools, and model changes are visible in reviews just like code changes.
Generated code can be checked into the same repository. Teams see exactly what is generated and can extend it where necessary.
Integrated into your build
A Maven plugin integrates generation into your build lifecycle. Generators themselves are versioned as Maven modules, so they can be tested, released and updated in a controlled way.
This makes the generator lifecycle explicit instead of hiding it inside ad-hoc scripts.
Governance without blocking developers
Any standardization effort raises a fair question: how much freedom do developers lose? JoinedWorkz is explicit about where the generator sets boundaries and where teams stay fully in control.
What the generator owns
Generators typically cover:
- Persistence mappings and repository patterns
- API contracts and basic controllers
- Integration points and standard cross-cutting concerns
These are the areas where architecture guidelines are most important and where code tends to be repetitive.
What teams own
Teams keep full control over:
- Business logic and domain-specific behavior
- Refinements and extensions on top of generated structures
- Decisions to take over generated code manually if needed
The generator provides a structured starting point. It does not try to encode every detail of your business.
In practice, this means architecture decisions are applied more consistently, while developers still shape the parts of the system where their expertise matters most.
Recommended adoption path
Successfully introducing generators is as much about process as it is about technology. A structured approach helps to avoid over-ambitious first steps and resistance from teams.
1
Pick a focused use case
Start with a concrete area such as persistence and APIs for a single backend service or a small group of related services. Avoid trying to cover the entire portfolio at once.
2
Define standards in the model
Translate existing architecture guidelines into concrete model concepts: entities, boundaries, API endpoints, error handling, naming conventions and so on.
3
Implement a custom generator
Build or adapt generators that produce code reflecting those standards. Treat the generator as a first-class artifact: versioned, reviewed and tested.
4
Pilot with a real project
Use the generator in a real project with a motivated team. Collect feedback, refine the model and generator, and measure where time is actually saved and where friction remains.
5
Roll out & evolve
Once stable, roll the generator out to further projects. Keep evolving it as your architecture and technology stack develops, just like any other shared component.
Project accompaniment by the creator of JoinedWorkz is strongly recommended, especially when defining the first custom generators and integrating them into existing processes.
Want to see how this could work in your context?
If you are considering model-driven generation to standardize APIs, persistence and controllers across projects, JoinedWorkz gives you a path that stays close to your existing tools and development culture.