AI Coding Agent for Odoo Module Generation

From Requirements to Working Module

Building a custom Odoo module traditionally takes days or weeks: defining models, creating views, writing security rules, building controllers, adding translations, and testing. An AI coding agent can generate a complete, well-structured module from a natural language description, producing code that follows Odoo conventions, includes proper security, and is ready for customization. This doesn't replace developers — it gives them a 10x head start.

What AI Generates

# Input prompt to AI coding agent:
"Create an Odoo 19 module for equipment rental management.
Track equipment items with serial numbers, manage rental
agreements with customers, handle pickup/return workflows,
calculate rental charges by day/week/month, and generate
invoices on return."

# AI generates complete module structure:
equipment_rental/
├── __init__.py
├── __manifest__.py
├── models/
│   ├── __init__.py
│   ├── rental_equipment.py      # Equipment catalog
│   ├── rental_agreement.py      # Rental contracts
│   └── rental_charge.py         # Billing calculation
├── views/
│   ├── rental_equipment_views.xml
│   ├── rental_agreement_views.xml
│   └── rental_menus.xml
├── security/
│   ├── ir.model.access.csv
│   └── rental_security.xml      # Groups and record rules
├── data/
│   ├── rental_sequence.xml       # Agreement numbering
│   └── rental_mail_template.xml  # Email templates
├── report/
│   ├── rental_agreement_report.xml
│   └── rental_report_template.xml
└── tests/
    ├── __init__.py
    └── test_rental_agreement.py

Model Generation

# AI generates proper Odoo models:

class RentalEquipment(models.Model):
    _name = 'rental.equipment'
    _description = 'Rental Equipment'
    _inherit = ['mail.thread', 'mail.activity.mixin']

    name = fields.Char(string='Equipment Name', required=True)
    serial_number = fields.Char(string='Serial Number', required=True)
    category_id = fields.Many2one(
        'rental.equipment.category', string='Category'
    )
    state = fields.Selection([
        ('available', 'Available'),
        ('rented', 'Rented'),
        ('maintenance', 'In Maintenance'),
        ('retired', 'Retired'),
    ], default='available', tracking=True)
    daily_rate = fields.Monetary(string='Daily Rate')
    weekly_rate = fields.Monetary(string='Weekly Rate')
    monthly_rate = fields.Monetary(string='Monthly Rate')
    replacement_value = fields.Monetary(string='Replacement Value')
    company_id = fields.Many2one(
        'res.company', default=lambda self: self.env.company
    )
    currency_id = fields.Many2one(
        related='company_id.currency_id'
    )
    current_agreement_id = fields.Many2one(
        'rental.agreement', compute='_compute_current_agreement'
    )
    image = fields.Image(string='Photo')
    note = fields.Html(string='Notes')

    _sql_constraints = [
        ('serial_unique', 'UNIQUE(serial_number)',
         'Serial number must be unique.')
    ]

View Generation

# AI generates list, form, search, and kanban views:

<record id="rental_equipment_form" model="ir.ui.view">
  <field name="name">rental.equipment.form</field>
  <field name="model">rental.equipment</field>
  <field name="arch" type="xml">
    <form>
      <header>
        <field name="state" widget="statusbar"
          statusbar_visible="available,rented"/>
      </header>
      <sheet>
        <div class="oe_title">
          <h1><field name="name" placeholder="Equipment Name"/></h1>
        </div>
        <group>
          <group>
            <field name="serial_number"/>
            <field name="category_id"/>
          </group>
          <group>
            <field name="daily_rate"/>
            <field name="weekly_rate"/>
            <field name="monthly_rate"/>
          </group>
        </group>
        <notebook>
          <page string="Details">
            <field name="note"/>
          </page>
        </notebook>
      </sheet>
      <chatter/>
    </form>
  </field>
</record>

Security Generation

# AI generates security groups and access rules:

# Groups:
# rental.group_rental_user — can view and manage rentals
# rental.group_rental_manager — full access + configuration

# ir.model.access.csv:
id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink
access_rental_equipment_user,rental.equipment.user,model_rental_equipment,rental.group_rental_user,1,1,1,0
access_rental_equipment_manager,rental.equipment.manager,model_rental_equipment,rental.group_rental_manager,1,1,1,1
access_rental_agreement_user,rental.agreement.user,model_rental_agreement,rental.group_rental_user,1,1,1,0
access_rental_agreement_manager,rental.agreement.manager,model_rental_agreement,rental.group_rental_manager,1,1,1,1

What AI Does Well

• Module scaffolding: complete file structure with proper imports
• Model design: fields, relations, constraints, computed fields
• View creation: form, list, kanban, search views with proper widgets
• Security boilerplate: groups, access rules, record rules
• Data files: sequences, email templates, demo data
• Report templates: QWeb PDF reports
• Basic tests: CRUD operations, workflow transitions, constraint checks

What Still Needs Human Review

• Business logic accuracy: does the model match real-world requirements?
• Edge cases: what happens when equipment is damaged during rental?
• Integration points: how does this connect to existing modules?
• Performance: will computed fields perform well with thousands of records?
• UX polish: is the workflow intuitive for end users?
• Localization: tax rules, legal requirements per country

Speed Comparison

Best Practices

• Start with clear requirements: the better the prompt, the better the output
• Review generated code thoroughly — AI writes plausible code, not guaranteed-correct code
• Test with real data: AI-generated tests cover happy paths, add edge cases manually
• Follow Odoo conventions: ensure AI output matches your project's coding standards
• Iterate: refine the generated module in conversation with the AI agent

DeployMonkey AI Module Generator

DeployMonkey's AI coding agent generates custom Odoo modules from natural language descriptions. Describe what you need, and the agent produces models, views, security, reports, and tests. Then deploy directly to your DeployMonkey-managed Odoo instance for testing.