Skip to main content

Training for Dolibarr developers

Work efficiently with AI in Dolibarr development

Practical training for developers who want to move beyond a simple AI chat and adopt a real working method: agents, coding assistants, Docker environments, skills, workflows and concrete Dolibarr cases.

Not a generic AI course

The goal is not to present artificial intelligence in theory or list trendy tools. The training starts from a real Dolibarr developer context: designing a module, understanding code, preparing an environment, running tests, producing documentation and maintaining quality.

It shows how to use AI as a true development assistant, integrated into a structured working method, rather than as a simple chat where code is copied and pasted.

Who is it for?

  • Dolibarr developers or technical integrators
  • Teams maintaining Dolibarr modules or customizations
  • Developers who want to modernize their workflow with AI

What the training can cover

The content is adapted to participants' level and goals, with a deliberately concrete and hands-on approach.

1

AI-augmented developer workflow

Organize work with AI assistants, coding agents, project instructions, implementation plans and verification loops to avoid simple copy-paste usage.

2

AI-assisted Dolibarr development

Understand, modify and design Dolibarr modules with AI support: module structure, hooks, triggers, extrafields, permissions, API and business constraints.

3

Environments and automation

Set up an efficient development environment: Docker, useful commands, tests, documentation, scripts, skills and reusable routines to speed up work.

4

Quality, security and limits

Learn how to stay in control: review generated code, verify assumptions, protect sensitive data, test for real and use AI without lowering technical standards.

Goal: leave with a usable method

Less copy-paste

Move from occasional AI usage to a structured, more reliable and more productive workflow.

Concrete Dolibarr cases

Work on examples close to the field: modules, customizations, integrations, APIs and maintenance.

A sustainable practice

Build reusable habits: prompts, project instructions, skills, checks and documentation.

A format adapted to your team

The training can be organized for one developer, a small team or a group of developers. The exact format is defined according to your level, tools and goals.

No fixed price or format is imposed here: the idea is to first discuss your needs, then propose an adapted, highly practical intervention centered on your Dolibarr use cases.

Want to train your developers in AI in a Dolibarr context?

Contact us to discuss the participants' level, objectives and most relevant format.

Get in touch about training