AI is moving from co-pilots to agents capable of acting and collaborating, redefining the role of developers and conversational systems.
In recent years, artificial intelligence has become part of developers’ daily lives in the form of co-pilots: autocompletion, code generation, documentation assistance. These tools have improved productivity without fundamentally changing the way products are designed.
A new stage is emerging: AI no longer just assists, it acts. It performs complete tasks and can be organized into sets of specialized agents capable of collaborating with each other. This evolution is transforming both software development and the way we design conversational systems.
From co-pilot to agent systems
In this so-called “agentic” logic, several agents can distribute roles: understand a need, generate a response, test a result or check overall consistency. The developer then becomes an orchestrator, responsible for structuring the problem, defining the context and supervising the whole thing.
This approach is particularly structuring for conversational AI. Building a dialogue experience no longer consists only of generating text, but of coordinating several capabilities: understanding intention, managing context, adapting tone and evaluating the relevance of responses. We are moving from a linear model to a multi-agent system which simulates richer and more natural interactions.
Towards more adaptive conversational systems
This change also redefines the boundaries between professions. Non-technical profiles can now prototype conversational journeys or test interaction scenarios, while engineers focus on system architecture, robustness and agent supervision.
But this transformation remains in the experimental phase. The main challenges concern the reliability of agents, the consistency of conversations and the quality of the data necessary to maintain relevant interactions over time. This involves finer control mechanisms and constant human supervision.
The central issue is clear: moving from conversational tools that respond to systems capable of dialoguing, adapting and cooperating. The rise of AI agents thus opens the way to a new generation of conversational experiences, particularly in the learning of foreign languages, which are more dynamic, more personalized and closer to human interaction.
