Looking back at Tech Ready 2025: generative AI, Cloud computing and the augmented developer

On June 3rd, the first edition of the Tech Ready conference took place at the Cité des Congrès in Nantes. The event brought together more than 300 participants for 25 talks and panel discussions, offering a rich overview of today’s major technological trends. Four team members from SQLI Nantes were in attendance to capture the spirit of this future-focused day. Here are the key takeaways on Generative AI, Cloud Computing and the Augmented Developer.

Generative AI: from prototype to industrialization

Since the end of 2024, a true turning point has occurred in the field of artificial intelligence. Companies are no longer just experimenting, they are now deploying concrete projects, a clear sign that the value of generative AI is fully recognized.

The pillars of a successful deployment include:

Data security: An absolute must. Hosting platforms must ensure confidentiality, while identity management helps tightly control access and authorized actions.
Cost control: Using AI models can quickly become expensive. Careful monitoring of usage and a well-tailored FinOps strategy are essential to avoid budget overruns.
Model evaluation: Choosing the right model requires a robust evaluation strategy that balances performance, cost and business relevance. Some high-performing models may be financially prohibitive.
Update monitoring: Model updates must be tested and measured through automated pipelines, in order to anticipate their impact on existing applications.

The augmented developer: a role in full transformation

Two talks particularly stood out on this topic:

"The AI-Powered Developer" by Sébastien Stormacq (Principal Developer Advocate at Amazon)
"How AI changed the way I code" by Dorian Ouvrard (CTO at Vulk)

These two sessions offered valuable insights into the changes driven by AI and the emergence of a new kind of developer profile.

AI: a copilot rather than a replacement

Far from replacing developers, AI serves as a productivity accelerator. It can generate code quickly and efficiently, but remains limited in understanding business challenges, human nuances, and software architecture. The developer therefore retains a central role, though their position is evolving.

Towards a new developer profile:

Code curator: The developer becomes a selector and editor of AI-generated code, rather than just a code writer.
Prompt engineer: They will need to master the art of crafting precise prompts to guide the AI in creating reliable, maintainable and scalable solutions.
Business expert: A deep understanding of business needs becomes a key differentiator, making the developer a rare and valuable asset.

In short, the developer of tomorrow will be an augmented developer, working hand in hand with AI to tackle increasingly complex challenges.

Conversational agents: the golden age

The conference highlighted several concrete use cases of conversational agent deployments, illustrating their positive impact on organization and productivity:

Alfred at Doctolib: A multi-agent system designed for healthcare professionals, enabling them to independently resolve issues related to the use of Doctolib’s tools.
Alan at the OuiCare Group: A RAG (Retrieval-Augmented Generation) agent that eases the burden on support teams by answering recurring questions about internal processes.
Scout at Strawberry: A multi-agent system deployed in the largest hotel group in Scandinavia, streamlining business processes for over 20,000 employees.

These solutions have helped streamline workflows, empower users and reduce pressure on support teams, while delivering real operational value.

Cloud computing: the foundation of innovation

Cloud computing continues to establish itself as a strategic enabler for businesses, allowing them to focus on creating business value rather than managing infrastructure.

Its main advantages:

Scalability and performance: to handle peak loads and ensure an optimal user experience.
Cost optimization: thanks to increasingly mature FinOps approaches.
Business agility: by facilitating experimentation, innovation, and faster time-to-market.

Conclusion: a revolution underway

Tech Ready 2025 confirmed that generative AI is no longer a promise but an operational reality. Combined with the power of cloud computing, it is reshaping the landscape of digital professions.

According to the World Economic Forum, by 2030: