Le dernier jugement du père de Claude Code : La division du travail en équipe est réécrite à l'ère de l'IA, ces « cinq types » de personnes sont les plus recherchés

marsbitPublished on 2026-06-30Last updated on 2026-06-30

Abstract

À l'ère de l'IA, la structure traditionnelle des équipes est remaniée. Le responsable de l'équipe Claude Code chez Anthropic, Boris Cherny, observe que les rôles rigides (ingénieur, designer, etc.) cèdent la place à cinq profils comportementaux dynamiques : le **Prototypiste** (génère des idées), le **Constructeur** (passe du prototype au produit), le **Nettoyeur** (simplifie et optimise), le **Responsable de la Croissance** (itère pour l'adoption marché) et le **Mainteneur** (garantit stabilité et fiabilité). Ces rôles ne sont pas liés à un poste fixe. Un individu peut en endosser plusieurs et changer selon la phase du projet. La composition idéale d'une équipe évolue avec la maturité du produit : phases de découverte (1,2,3), de croissance (2,3,4) et de maturité (3,4,5). Les réactions en ligne approuvent cette vision fluide du travail, soulignant que se cantonner à un seul rôle limite l'efficacité et l'adaptabilité. Bien que l'IA puisse aider dans certaines tâches (comme la construction ou le nettoyage), la réflexion humaine, la prise de décision et la flexibilité stratégique restent cruciales. L'accent se déplace donc de "quel est ton poste ?" vers "que peux-tu accomplir à cette étape du cycle de vie du produit ?".

Alors que le Agent Coding est en plein essor et remodelant l'industrie du logiciel, le secteur semble avoir progressivement accepté le fait indéniable que le métier d'« ingénieur » est en train de changer. En réalité, ce n'est peut-être pas seulement le poste d'« ingénieur » qui est transformé ; des changements plus profonds se produisent silencieusement dans les fondements même de l'architecture organisationnelle des équipes...

Récemment, Boris Cherny, responsable de l'équipe Claude Code chez Anthropic, a partagé sur X une observation très intéressante.

Il souligne qu'avec la fusion progressive des fonctions d'ingénierie, de produit, de design et de science des données, il réfléchit constamment à l'évolution future de ces rôles. Prenant l'équipe Claude Code comme exemple, il explique que les « étiquettes de poste » traditionnelles y sont complètement déchirées, remplacées par 5 nouveaux rôles « désagrégés » basés sur des modes de comportement : le Prototypiste, le Constructeur, le Nettoyeur, le Responsable de la Croissance et le Mainteneur.

Le Prototypiste (The Prototyper) : Principalement responsable de proposer de nouvelles idées et de produire continuellement un grand nombre de concepts créatifs, dont la plupart ne seront finalement pas mis en ligne. En d'autres termes, ils recherchent la quantité et le caractère disruptif des idées, sans s'attarder sur la faisabilité de chacune.

Le Constructeur (The Builder) : Principalement responsable de transformer rapidement des idées éparses ou des prototypes bruts en produits ou infrastructures hautement disponibles, réellement prêts pour l'environnement de production et destinés à un grand nombre d'utilisateurs. Autrement dit, ils s'occupent du saut complexe de 0,1 à 1.

Le Nettoyeur (The Sweeper) : Principalement responsable de « faire des soustractions ». L'effet secondaire le plus redoutable de l'ère de l'IA est la prolifération excessive de code et de fonctionnalités. Le rôle du Nettoyeur est de nettoyer, d'épurer l'interface utilisateur, de simplifier et de restructurer le code et l'architecture système chaotiques, et de supprimer les fonctionnalités redondantes inutiles, afin de garantir des performances élevées et une grande maintenabilité du système.

Le Responsable de la Croissance (The Growth) : Prend en charge un produit déjà construit et formé. Lorsqu'un produit entre sur le marché, le Responsable de la Croissance est chargé des itérations continues à petits pas rapides. Il doit se préoccuper de : comment rapprocher le produit du marché ? Comment fidéliser les utilisateurs ? Comment faire passer un produit de « utilisable » à « indispensable ». Cependant, ce rôle n'est pas équivalent au rôle traditionnel de responsable de la croissance opérationnelle (growth hacking), mais se rapproche plutôt d'une combinaison de compétences en produit, données, compréhension des utilisateurs et expérimentation.

Le Mainteneur (The Maintainer) : Responsable de l'exploitation à long terme d'un système mature. Ils ne participent pas nécessairement à la course aux nouvelles fonctionnalités spectaculaires, mais s'acharnent sur la sécurité, la fiabilité, l'efficacité d'exécution extrême et la résilience du système, garantissant que le service reste stable comme un roc même sous des pics de trafic extrêmes.

Cependant, il est important de noter que ces cinq rôles ne correspondent pas à des postes traditionnels. Autrement dit, ils ne sont pas figés dans un titre professionnel comme dans la gestion organisationnelle classique.

Boris Cherny estime que beaucoup de personnes pourront endosser deux rôles, parfois même trois.

« J'ai également remarqué que ces rôles ne sont pas vraiment liés à des postes spécifiques. Par exemple, au sein d'Anthropic, certains designers correspondent plus au type 1, d'autres au type 2, d'autres encore au type 3 ; c'est la même chose pour les ingénieurs, les chefs de produit et les scientifiques des données. »

Cela signifie que dans une équipe efficace dotée de l'IA, de nombreux membres ne sont plus des « pions uniques ». Un designer peut être un Prototypiste ou un Nettoyeur ; un ingénieur peut être un Constructeur ou un Mainteneur ; un chef de produit peut assumer le rôle de Responsable de la Croissance ou devenir un Prototypiste ; un scientifique des données ne se contente peut-être pas seulement d'analyses, mais peut aussi participer directement à la croissance du produit et à l'optimisation du système...

En d'autres termes, la manière dont les équipes perçoivent les personnes pourrait changer à l'avenir. La question passée était principalement « Quel est ton poste ? ». À l'avenir, ou déjà maintenant, elle devient « À quelle étape du cycle de vie du produit peux-tu contribuer ? ».

Boris Cherny analyse que la combinaison de ces rôles nécessaire à une équipe saine dépend concrètement du stade où se trouve le produit :

Un produit tout nouveau, qui n'a pas encore trouvé son adéquation produit-marché (product-market fit), a besoin de personnes douées pour les rôles de type 1, 2 et 3 ;

Un produit en croissance, qui a déjà trouvé son adéquation produit-marché, a besoin des rôles de type 2, 3 et 4, et doit être complété par quelques rôles de type 5 ;

Un produit qui possède déjà une forte adéquation produit-marché a besoin des rôles de type 3, 4 et 5, tout en conservant quelques rôles de type 2.

« Peut-être qu'à l'avenir, les rôles liés au produit ressembleront davantage à cela, plutôt qu'aux postes d'aujourd'hui divisés par domaines d'expertise. »

Dès sa publication, ce post a suscité des réactions animées parmi les internautes, la majorité exprimant son accord.

« Cela correspond tellement à la façon dont les gens travaillent vraiment. Dans certains projets, je suis effectivement une combinaison de 1+3, et dans d'autres, je suis presque un pur 4. Les intitulés de poste n'ont jamais vraiment résumé cela. »

Un scientifique des données a également « témoigné », disant qu'en tant que tel, il se retrouve souvent à faire un travail de type Nettoyeur, tout en construisant des produits avec une sensibilité de scientifique des données. « Est-ce que cela signifie que je suis du type 2+3 ? »

L'internaute Kun Chen@kunchenguid a déclaré être profondément d'accord. Il a toujours été réticent à définir des « archétypes de rôles », car les gens ont tendance à voir cela et à penser : « Ah, c'est donc moi », puis à cesser de se remettre en question. Dans la réalité, « le rôle d'une personne doit souvent évoluer avec le projet. »

Il donne un exemple : au début d'un nouveau projet, il est généralement un Prototypiste et un Constructeur ; mais rapidement, lorsque les aspects rudimentaires et imparfaits deviennent des goulots d'étranglement, il se transforme en Nettoyeur. Et à mesure que le projet mûrit, il se tourne vers le rôle de Responsable de la Croissance et de Mainteneur... « Si je m'enfermais dans un rôle spécifique, alors lorsque le projet atteindrait un certain stade, je serais obligé de le laisser tomber. »

Une autre réalité est que désormais, les gens gèrent de plus en plus souvent plusieurs projets simultanément, ce qui exige de pouvoir jouer différents rôles dans différents projets. « Se classer dans un archétype fixe tend souvent à limiter l'ambition d'une personne à se développer. »

Son conseil est donc : rester flexible, concentrer son attention sur les choses les plus importantes nécessaires pour atteindre l'objectif, et moins se préoccuper des frontières entre les rôles. Car ces frontières ne feront que continuer à s'estomper avec le temps.

Boris Cherny a répondu que cela correspondait parfaitement à son propre sentiment : « Tout à fait d'accord. Les rôles ont tendance à changer constamment avec le temps et les phases du projet. »

Certains internautes ont également exprimé des doutes : « Puisque le problème de l'IA écrivant du code est essentiellement résolu, pourquoi avons-nous encore besoin de rôles comme le Constructeur et le Nettoyeur ? Ne pourrait-on pas simplement laisser Claude exécuter en boucle ? »

À cela, Boris Cherny explique que Claude peut, à différents degrés, aider à accomplir ces tâches, et qu'il continuera à devenir plus fort avec le temps. Actuellement, Claude d'aujourd'hui est déjà assez bon pour assumer les travaux des rôles de Nettoyeur et de Constructeur.

Et vous, que pensez-vous de cette évolution des rôles professionnels ? N'hésitez pas à laisser un commentaire ci-dessous pour échanger !

Liens de référence :

https://x.com/bcherny/status/2071379474277613732

https://x.com/kunchenguid/status/2071382977628795289

Cet article provient du compte public WeChat « Machine Heart » (ID : almosthuman2014), auteur : Concerné par l'IA

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Related Questions

QQuels sont les cinq nouveaux rôles "détachés" identifiés par Boris Cherny comme émergeant dans les équipes à l'ère de l'IA ?

ALes cinq nouveaux rôles "détachés" identifiés sont : le Prototypiste (The Prototyper), le Constructeur (The Builder), le Nettoyeur (The Sweeper), le Spécialiste de la Croissance (The Growth) et le Mainteneur (The Maintainer).

QEn quoi ces nouveaux rôles diffèrent-ils des postes traditionnels dans une organisation selon l'article ?

ACes rôles diffèrent des postes traditionnels car ils ne sont pas liés à un titre ou une fonction fixe. Ils sont basés sur des modes de comportement et une personne peut endosser plusieurs rôles selon le projet ou la phase du cycle de vie du produit, contrairement au modèle traditionnel où un individu est souvent cantonné à un rôle unique.

QQuel est le rôle principal du "Nettoyeur" (The Sweeper) dans une équipe selon Boris Cherny ?

ALe rôle principal du "Nettoyeur" est de faire du "soustractif". Il est chargé de nettoyer, de simplifier l'interface utilisateur, de refactoriser du code et des architectures désordonnées, et de supprimer les fonctionnalités redondantes pour assurer de hautes performances et une meilleure maintenabilité du système, combattant ainsi la prolifération excessive de code et de fonctionnalités à l'ère de l'IA.

QComment la composition idéale d'une équipe évolue-t-elle selon la phase de maturité du produit d'après l'article ?

APour un produit tout nouveau, il faut des personnes fortes dans les rôles 1 (Prototypiste), 2 (Constructeur) et 3 (Nettoyeur). Pour un produit en croissance ayant trouvé son marché, les rôles 2, 3, 4 (Spécialiste de la Croissance) sont nécessaires, avec quelques rôles 5 (Mainteneur). Pour un produit mature et établi, les rôles 3, 4, 5 sont cruciaux, en conservant quelques rôles 2.

QQuelle est l'une des principales mises en garde émises par un utilisateur concernant l'adhésion trop rigide à ces rôles prototypes ?

AUn utilisateur met en garde contre le fait de se catégoriser trop rigidement dans un rôle prototype, car cela peut limiter l'ambition et l'adaptabilité d'une personne. En réalité, le rôle d'un individu doit évoluer avec le projet et ses différentes phases. Il faut rester flexible et se concentrer sur les actions nécessaires pour atteindre l'objectif, plutôt que sur les frontières de rôles qui continueront à s'estomper.

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While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

753 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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