Single Developer Controls Code Agents Constellation: AI Revolutionizes Software Development

How is generative AI practically changing developers’ daily lives in 2025? What are the most promising applications today?

The year 2025 has been a major turning point. Previously, we mainly saw intelligent autocompletion with tools like Microsoft Copilot or Cursor, and occasional generation through ChatGPT. These were helpful, yet cumbersome. The beginning of the year introduced tools like Cline, capable of editing multiple files directly from the IDE and accessing the entire codebase. This marked the real beginning of code agents.

With rapid improvements in models, these agents have become more consistent, contextual, and capable of reasoning. Then, the introduction of Claude Code shifted the balance: a majority of coding tasks can now be delegated to AI.

The profession has shifted: developers are now architects and auditors of AI. They design, validate choices, undertake extensive refactoring, and maintain the product vision.

Top AI code generators

With the proliferation of tools, what advice would you give developers and CTOs for choosing the right AI code generator? What criteria should be prioritized?

There are two main factors to consider when choosing your tool: the model(s) used and the software that operates the code agents. For both, it’s important to keep up-to-date and test frequently to find what works best. For models, I often refer to OpenRouter’s rankings as they provide a good starting point for testing.

As for the coding agent, the popular ones are usually good for a reason. Compatibility is also a key factor. Claude Code, for instance, works well with Anthropic’s models. However, differences may arise depending on the programming languages used and the nature of your application. Another major concern is security and what you are legally allowed to use as a model. Then, as with IDEs, it’s also a matter of personal preference.

AI is seen both as an effective assistant and a potential threat to the developer profession. As a player in France’s generative AI ecosystem, what is your perspective on this issue?

This is not unique to developers. All cognitive professions are being redefined. AI is amplifying production capacity, iteration speed, and the average quality of deliverables.

The role of developers as craftsmen of code will gradually disappear. However, the role of system designers is becoming more valuable: understanding business stakes, structuring data flows, designing architectures, and making technical trade-offs.

Developers who can manage AI agents, structure code pipelines, and think at a higher level of abstraction will have more impact than ever.

Others, those who have only been coding, will struggle to add value as AI advances. Specializing in a technical area to solve highly complex problems might remain an escape route for them.

What skills have become crucial today for a developer who wants to make the most of these AI tools without becoming overly dependent?

Fundamental skills have never been more critical. AI has made code writing almost trivial, but it has greatly increased the importance of tool selection, architecture, and orchestration. Knowing how to combine the right models, configure a coherent environment, and structure workflows becomes a strategic lever. Refactoring remains a crucial skill: models produce quickly but often in a verbose, approximate, or redundant manner.

Cleaning, refactoring, and maintaining overall coherence is where human added value comes into play.

The real revolution is the emergence of the software factory. We are entering an era where a single developer can manage a constellation of specialized agents: some write code, others test, document, optimize performance, or manage deployments. These agents will soon delegate tasks to others, forming autonomous production chains capable of advancing dozens of projects simultaneously.

The role of the developer is to learn how to design, configure, and supervise this AI agent factory. The challenge is no longer to write code but to build the system that will produce it and ensure it aligns with business needs.

At AGO, we are preparing our platform for this future, where much of the documentation will be written by AI agents and then used throughout the company.

At the Imagine Summit event, you will participate in a panel discussion about the transformation of development professions by AI. What will be the goal of this intervention, and with which other experts will you exchange views?

This panel discussion, scheduled for December 4th at the Imagine Summit, aims to concretely demonstrate how AI is redefining development professions. The focus will be on the transition from a developer who codes to one who designs, orchestrates, and oversees.

AI has become a co-pilot in coding. It brings massive productivity gains but also introduces new responsibilities: verifying the consistency of generated code, ensuring security, and understanding the machine’s decisions.

I will share AGO’s vision on the evolution of the developer’s role and the gradual emergence of more automated structures, where several agents assist the developer with complementary tasks. It’s not yet a completed revolution, but its foundations are visible.

The exchange with Jacques Le Mancq (Broadpeak) and Kim Bourget (SNCF Group) will provide a cross-sectional view between technology, industry, and public innovation. Three very different contexts, but all facing the same question: how to integrate AI without losing control over software development.