This talk offers a pragmatic exploration of integrating Artificial Intelligence (AI) across the entire Odoo software development lifecycle, specifically for developers and technical teams.

We move beyond the hype of AI as mere code generation, sharing our journey and "in-the-trenches" experiences with tools like Cursor and Claude Code. The session will delve into how AI can support solution discovery and design, aid in the complexities of Odoo coding, and assist in crucial testing and documentation phases.

Why is this relevant? As AI continues to reshape software development, Odoo developers face unique challenges: How do we leverage these powerful tools while navigating Odoo's specific architecture, version intricacies, and the critical need to protect client workflow integrity and data? This talk provides a candid look at the practical applications, the unforeseen hurdles, and the valuable lessons learned when applying AI to Odoo projects. It’s not an "end of the road" success story, but an honest account of experimentation, pitfalls, and emerging best practices relevant to any Odoo developer looking to engage with AI meaningfully.

Key Points:

- Exploring AI's role in the full Odoo development lifecycle – from requirements gathering and solution design to deployment.
- Practical experiences with tools (e.g., Cursor, Claude Code, Gemini Code Assist, GitHub Copilot) for Odoo Python and XML as coding co-pilots; what works, what doesn't.
- Addressing issues like LLM confusion with Odoo versions, shielding Odoo's unique syntax, and managing its framework nuances – the Odoo-specific AI challenge.
- Navigating concerns of entrusting client workflows and sensitive data to AI tools that may not fully "understand" the underlying business logic.
- Investigating how AI can assist in generating test cases, automating aspects of testing, and improving documentation for Odoo modules.
- A transparent look at experiments, what to embrace, what to be wary of, and how our development approach is evolving based on lessons from the field.

Key Learnings:

- Understand diverse applications of AI throughout the Odoo development lifecycle, not just code generation.
- Learn about the technical challenges and limitations when applying current AI tools to Odoo's framework and versioning.
- Hear real-world insights into using tools like Cursor and Claude Code within an Odoo development context.
- Learn about the critical considerations for data privacy, process integrity, and trust when integrating AI into Odoo projects.
- Leave with a realistic perspective on leveraging AI in Odoo development, informed by shared experiences and lessons learned.

Target Audience:

- Odoo Developers (junior to senior)
- Odoo Technical Team Leads
- Software Engineers working with or transitioning to Odoo
- Technical Consultants involved in Odoo implementations and customizations.