AI Coding Radar
Agents de code, MCP, Spec-Driven Development, usines agentiques : en un an, l'IA a profondément changé la façon de produire du logiciel. La question n'est plus de savoir s'il faut l'utiliser, mais comment passer de quelques usages isolés à une production industrielle.
Avec l'AI Coding Radar, les équipes de Theodo partagent leurs convictions de terrain. Leur objectif : aider les directions techniques à repérer ce qui est prêt à être généralisé, ce qu'il faut tester et ce qu'il vaut mieux écarter.
The radar analyzes 40 technological innovations, organized into four major domains: User Experience & Interface, Data & AI, Platform & Core, and Trust & Security.
Each innovation is positioned according to four levels of adoption:, for proven technologies;, for those to experiment with;, for those to monitor;, for those to avoid or remove from the roadmap at this stage.
The study draws on responses from 83 fintechs, collected from CTOs and VP Engineering, to ground the recommendations in real-world use, production feedback, and concrete technical choices.
For each topic, Theodo experts provide an operational analysis: implementation complexity, conditions for scaling, risks, architecture choices, ecosystem maturity, and observed business value.
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FinTechs will be AI-native, or they will cease to exist. Composable interfaces, agent-ready products, accelerated delivery: these paradigms are already here, even in a highly regulated sector.
Mobile development from scratch in React Native, connected to a complex existing environment.
Multi-platform application in React Native, designed to maximize functional coverage and divide development costs, while ensuring maintainability and security.
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