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pour le développement logiciel en entreprise.",[698],"Stuart Moncada","https://res.cloudinary.com/about-gitlab-com/image/upload/v1776457632/llddiylsgwuze0u1rjks.png","2026-04-28","Les dirigeants d'entreprise et du secteur public connaissent bien ce dilemme : les équipes de développement doivent travailler plus vite avec l'IA, tandis que les exigences en matière de sécurité, de conformité et de réglementation ne cessent de se renforcer. GitLab renforce son intégration d'Anthropic Claude afin de donner aux organisations accès aux derniers modèles Claude au sein de la plateforme d'orchestration intelligente de GitLab, où la gouvernance, la conformité et la traçabilité sont déjà intégrées.\n\nClaude alimente les fonctionnalités de GitLab Duo Agent Platform en tant que modèle par défaut prêt à l'emploi et couvre un large éventail de cas d'utilisation : génération et revue de code, chat agentique et résolution de vulnérabilités. Si vous avez déjà utilisé GitLab Duo, vous avez pu constater comment les agents GitLab Duo automatisent les workflows sur l'ensemble du cycle de développement logiciel (SDLC).\n\nCette évolution accélère l'intégration des capacités de Claude dans GitLab, élargit les modalités de déploiement pour les entreprises et renforce ce qui distingue fondamentalement GitLab en tant que plateforme de développement logiciel : la gouvernance, la conformité et la traçabilité intégrées à chaque interaction avec l'IA.\n\n> « GitLab Duo a accéléré la façon dont nos équipes planifient, développent et livrent des logiciels. La combinaison d'Anthropic Claude et de la plateforme GitLab nous permet de bénéficier d'une IA plus performante, sans modifier nos méthodes de travail ni notre framework de gouvernance. »\n>\n> – Mans Booijink, Operations Manager, Cube\n\n## Le véritable atout : l'IA gouvernée\n\nAvec GitLab, les contrôles de gouvernance et les mécanismes d'audit sont intégrés au SDLC. Lorsque Claude propose une modification de code via GitLab Duo Agent Platform, cette suggestion suit le même processus de merge request, les mêmes règles d'approbation, les mêmes scans de sécurité et la même piste d'audit que toute autre modification. L'IA ne contourne pas vos contrôles : elle s'y conforme.\n\nÀ mesure que GitLab s'engage davantage dans le développement logiciel agentique, où l'IA prend en charge de manière autonome des tâches bien définies, la couche de gouvernance devient encore plus déterminante. Un agent d'IA capable d'ouvrir une merge request, d'aider à résoudre une vulnérabilité ou de refactoriser un service doit être auditable, imputable et soumis aux mêmes règles que celles appliquées aux équipes de développement. Cette exigence est un choix architectural que GitLab a fait dès le départ, et dont l'importance ne fait que croître à mesure que les agents d'IA assument des responsabilités plus étendues.\n\n## Flexibilité de déploiement pour les entreprises\n\nCette collaboration élargit également les modalités d'accès aux derniers modèles Claude via GitLab. Claude est disponible dans GitLab via Vertex AI de Google Cloud et AWS Bedrock, ce qui permet aux entreprises d'acheminer leurs charges de travail d'IA à travers les engagements hyperscaler et les frameworks de gouvernance cloud déjà en place, sans contrat fournisseur supplémentaire ni remise en question de la résidence des données. Votre relation existante avec Google Cloud Platform ou AWS constitue le point d'entrée.\n\nGitLab est désormais également disponible sur le [Claude Marketplace](https://claude.com/platform/marketplace), où les clients peuvent acheter des GitLab Credits et les imputer sur leurs engagements de dépenses Anthropic existants afin de consolider les dépenses en IA et de simplifier la façon dont les équipes découvrent et acquièrent GitLab parallèlement à leurs investissements Anthropic.\n\n## Vers un avenir agentique\n\nLa vision de GitLab pour le développement logiciel agentique, où l'IA prend en charge de manière autonome des tâches définies couvrant la planification, le codage, les tests, la sécurisation et le déploiement, exige des modèles dotés de solides capacités de raisonnement, de fiabilité et de sécurité. Elle requiert également une plateforme dans laquelle ces actions autonomes sont entièrement gouvernées.\n\nLes workflows agentiques nécessitent des modèles alliant raisonnement, fiabilité et sécurité, des critères qui guident la sélection et l'intégration des partenaires en matière de modèles d'IA de GitLab. Le framework de gouvernance de GitLab contribue à garantir que, à mesure que les agents d'IA prennent en charge des tâches de développement plus avancées, les entreprises conservent une visibilité et un contrôle complets sur ce que font ces agents, le moment où ils agissent et la façon dont les modifications sont suivies.\n\n## Ce que cela signifie pour les clients GitLab\n\nSi vous utilisez déjà GitLab Duo Agent Platform, vous bénéficierez d'un accès aux modèles Claude et d'une assistance IA approfondie sur l'ensemble de votre cycle de développement logiciel, le tout dans le framework de gouvernance sur lequel vous vous appuyez déjà.\n\nSi vous évaluez des plateformes de développement logiciel basées sur l'IA, vous ne devriez pas avoir à choisir entre des capacités d'IA avancées et le contrôle en entreprise. Cette intégration stratégique est conçue pour offrir les deux.\n\n> Vous souhaitez en savoir plus sur GitLab Duo Agent Platform ? [Demandez une démonstration ou commencez un essai gratuit dès aujourd'hui](https://about.gitlab.com/fr-fr/gitlab-duo-agent-platform/).",[703,704,260],"AI/ML","product",{},"/fr-fr/blog/gitlab-and-anthropic-governed-ai-for-enterprise-development",{"config":708,"title":709,"description":710},{"noIndex":10},"GitLab et Anthropic : l'IA gouvernée pour les entreprises","GitLab renforce son intégration d'Anthropic Claude avec une IA gouvernée, de nouveaux modèles et une flexibilité cloud pour le développement en entreprise.","fr-fr/blog/gitlab-and-anthropic-governed-ai-for-enterprise-development",[713,704,260],"aiml","aDkKWj7ZUrk-omRh9e-rbbKKGOXvBzyEVdWWfOu3d6A",[716,725,733,742,751,760,768],{"content":717,"config":723},{"title":718,"heroImage":719,"category":9,"description":720,"authors":721},"Développement de GitLab Duo : tester et sécuriser le code généré par l'IA ","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097183/Blog/Hero%20Images/Blog/Hero%20Images/blog-hero-banner-1-0178-820x470-fy25_7JlF3WlEkswGQbcTe8DOTB_1750097183481.png","Découvrez, étape par étape, comment améliorer la fiabilité et la sécurité du code généré par l'IA à l'aide de GitLab Duo et de GitLab Pages.",[722],"David O'Regan",{"externalUrl":-1,"slug":724},"how-gitlab-duo-helps-secure-and-thoroughly-test-ai-generated-code",{"content":726,"config":731},{"title":727,"heroImage":728,"category":9,"description":729,"authors":730},"GitLab Duo : comment nous utilisons nos propres fonctionnalités d’IA","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098360/Blog/Hero%20Images/Blog/Hero%20Images/blog-hero-banner-1-0178-820x470-fy25_7JlF3WlEkswGQbcTe8DOTB_1750098360821.png","Dans le cadre de notre série d’articles de blog, nous partageons des exemples concrets de la façon dont nous intégrons l'IA dans notre cycle de développement logiciel et comment nous utilisons des métriques pour évaluer leur réussite.",[722],{"externalUrl":-1,"slug":732},"developing-gitlab-duo-how-we-are-dogfooding-our-ai-features",{"content":734,"config":740},{"title":735,"heroImage":736,"category":9,"description":737,"authors":738},"GitLab Duo : mesurer le ROI de l’IA avec le tableau de bord d'analyse d'impact","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750098611/Blog/Hero%20Images/Blog/Hero%20Images/blog-hero-banner-1-0178-820x470-fy25_7JlF3WlEkswGQbcTe8DOTB_1750098611370.png","Notre série d’articles de blog se poursuit avec la présentation d'une nouvelle fonctionnalité qui fournit des métriques détaillées, telles que le taux d'utilisation des suggestions de code, permettant de comprendre l'efficacité des investissements en IA.",[739],"Haim Snir",{"externalUrl":-1,"slug":741},"developing-gitlab-duo-ai-impact-analytics-dashboard-measures-the-roi-of-ai",{"content":743,"config":749},{"title":744,"heroImage":745,"category":9,"description":746,"authors":747},"GitLab Duo : comment nous validons et testons les modèles d'IA à grande échelle","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749659856/Blog/Hero%20Images/blog-hero-banner-1-0178-820x470-fy25.png","Notre série d’articles de blog débute avec un aperçu de la façon dont nous évaluons les grands modèles de langage (LLM), les adaptons à des cas d'utilisation et les affinons pour fournir de meilleures réponses aux utilisateurs.",[748],"Susie Bitters",{"externalUrl":-1,"slug":750},"developing-gitlab-duo-how-we-validate-and-test-ai-models-at-scale",{"content":752,"config":758},{"title":753,"heroImage":754,"category":9,"description":755,"authors":756},"GitLab Duo Chat : 10 bonnes pratiques à connaître","https://res.cloudinary.com/about-gitlab-com/image/upload/v1750097639/Blog/Hero%20Images/Blog/Hero%20Images/blog-image-template-1800x945%20%281%29_77JeTV9gAmbXM0224acirV_1750097638765.png","Découvrez nos conseils et astuces pour intégrer GitLab Duo Chat à vos workflows DevSecOps alimentés par l'IA. ",[757],"Michael Friedrich",{"externalUrl":-1,"slug":759},"10-best-practices-for-using-ai-powered-gitlab-duo-chat",{"content":761,"config":766},{"title":762,"heroImage":763,"category":9,"description":764,"authors":765},"Programmation en Rust à l’aide de l'IA : tutoriel","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662439/Blog/Hero%20Images/codewithheart.png","Poursuivez votre apprentissage de la programmation en Rust à l'aide de ce tutoriel et des suggestions de code alimentées par l'IA de GitLab Duo.",[757],{"externalUrl":-1,"slug":767},"learn-advanced-rust-programming-with-a-little-help-from-ai-code-suggestions",{"content":769,"config":775},{"title":770,"heroImage":771,"category":9,"description":772,"authors":773},"GitLab Flow et GitLab Duo : le combo gagnant pour un workflow puissant","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662840/Blog/Hero%20Images/ai-experiment-stars.png","Tirez parti de workflows DevSecOps plus productifs et puissants en combinant GitLab Flow et GitLab Duo au sein de votre cycle de développement logiciel.",[774],"Cesar Saavedra",{"externalUrl":-1,"slug":776},"gitlab-flow-duo",1777576693406]