Opinion ·
Why AI should do more than teach us to code faster
Original title, in French: “Pourquoi l'IA ne doit pas seulement nous apprendre à coder plus vite”
- Publication
- Journal du Net (France)
- Author
- Arnaud Lemaire
- Published on
- 29 September 2026 · read in the page structured data
Summary
The author, an engineer at a payment company for restaurants, explains that his team chose to focus AI on investigating production incidents rather than solely on speeding up code writing. According to him, a dedicated agent cuts the time taken to investigate an anomaly from 90 to 10 minutes, by starting from the support ticket, cross-referencing system events and building a timeline of facts. He also describes an adversarial verification step designed to prevent false diagnoses, and points out that the agent reveals blind spots in internal systems when data is missing.
Summary based on the full text of the article.
Read the article on Journal du Net →Figures cited
-
— minutes
incident investigation time before and after using a dedicated AI agent
author's company, payment platform for restaurants
« Résultat : des investigations qui exigeaient autrefois 90 minutes n’en prennent plus que 10. »
Classification
- Country
- —
- Company size
- All sizes
- Industries
- Software vendors, IT services companies, telecoms · Tourism, hospitality, catering
- Keywords
- AI agents, code generation, software development, technical support, automation, incident investigation
Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Journal du Net and its author. Entry translated from French by Claude Sonnet 5.5.