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.
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.
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.
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.
See what three files turn into.
Three definition files in, a complete bounded context out. Browse the generated code.
# Database Schema — Sales Bounded Context
# This file defines the persistent storage structure.
schema:
domain: ECommerce
boundedContext: Sales
tables:
order:
columns:
id:
type: integer
primary: true
autoIncrement: true
public_id:
type: uuid7
unique: true
customer_email:
type: string
length: 255
status:
type: string
length: 32
default: "draft"
total_amount:
type: integer
currency:
type: string
length: 3
default: "EUR"
created_at:
type: datetime
updated_at:
type: datetime
nullable: true
order_item:
columns:
id:
type: integer
primary: true
autoIncrement: true
order_id:
type: integer
foreignKey:
table: order
column: id
onDelete: cascade
product_name:
type: string
length: 255
sku:
type: string
length: 64
quantity:
type: integer
unit_price:
type: integer
line_total:
type: integer
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.
Maintenance work that stays contained
Domain boundaries as physical structure mean a hotfix in checkout never reaches inventory. Bugfixes stay scoped, effort stays estimable.
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.
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.
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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.