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When Maintenance Costs Consume More Budget Than New Features

23 to 42% of development time goes into maintenance instead of building value. Not because teams work poorly, but because the architecture makes maintenance expensive. Jardis generates structures that keep maintenance predictable.

Maintenance costs grow faster than the codebase.

Every line of code is a maintenance promise. Without clear domain boundaries, every change pays interest on the full system complexity.

Dev budget drains into maintenance

A third of sprint capacity goes to bugfixes, hotfixes, and adjustments that nobody planned as features. Roadmap items shift quarter after quarter because the system constantly demands attention.

Every change triggers unplanned follow-up work

A pricing update in billing requires three more adjustments in seemingly unrelated modules. No ticket is truly done until the side effects are found and fixed. The actual effort cannot be estimated upfront.

Domain knowledge lives in individual people

Who knows the rules in the pricing module? Who is allowed to touch the payment flow? The longer a system grows, the more knowledge sits in a few heads instead of in the code. Vacation, resignation, or team changes become production risks.

How Jardis reduces software maintenance cost structurally.

The Jardis builder generates PHP code with clear domain boundaries. Maintenance stays isolated, predictable, and independent of individual knowledge.

DOMAIN ISOLATION

Changes stay where they belong

Every Bounded Context is a standalone PHP package with its own dependency structure. A change in billing cannot break onboarding because access is physically prevented. Maintenance work stays contained and calculable.

READABLE STRUCTURES

Domain knowledge lives in the code, not in people

Entities, aggregates, and domain events describe business concepts explicitly. Opening a new Bounded Context makes the rules immediately clear: not through wiki pages, but through the generated structure itself. Knowledge stays with the team, not with individual developers.

PLANNABLE EFFORT

Effort estimates that stop exploding

When every Bounded Context is structured identically, maintenance effort becomes calculable. No hidden dependencies that only surface when you touch the code. No risk that only shows up in deployment. The builder generates the foundation, your team understands it completely.

BUILDER OUTPUT
80%
architecture code generatedEntities, aggregates, commands, queries, events, and the repository pipeline. The foundation is ready immediately. Your team writes only the business logic.
50%
faster delivery of new features
0
unintended cross-domain dependencies
CONSISTENCY
100%
architecture-compliantEvery generated file follows hexagonal architecture. No special cases that create maintenance overhead later.

Why maintenance costs stay predictable with Jardis.

Not less code to maintain, but code that is easier to maintain. Because the boundaries are right from the start.

> Isolation

Maintenance work that stays contained

Domain boundaries as physical structure mean a hotfix in checkout never reaches inventory. Bugfixes stay scoped, effort stays estimable.

> Predictability

Estimates that actually hold

Every Bounded Context follows the same architecture. Know one, know them all. Tickets get reliable estimates because the structure holds no hidden surprises.

> Knowledge Transfer

Code that explains itself

Explicit entities, commands, and domain events document business rules directly in PHP code. No individual knowledge lost when the next team change happens.

Ready to make software maintenance costs predictable again?

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Frequently Asked Questions

Answers to the most important questions about Jardis and software maintenance cost.

Because hidden dependencies obscure the actual effort. A change in module A triggers side effects in modules B and C that nobody planned for. Jardis isolates domains physically. A change in billing cannot break onboarding because access is structurally ruled out.