# caseau-evolution-developpeur-ia-generative-2025-11-05

## Veille

Developer role evolution with generative AI, IT roles transformation, systems engineering, orchestration agentique - Yves Caseau - Michelin - LinkedIn

## Titre Article

L'IA dévore le logiciel : évolution du métier de développeur

## Date

2025-11-05

## URL

https://www.linkedin.com/feed/update/urn:li:activity:7391710214191857664/

## Keywords

developer, generative AI, code generation, systems engineering, orchestration agentique, vibe coding, System Engineers, Solutions Engineers, Citizen Developers, software architecture, natural language, software maintenance, complexity, abstraction, legacy systems, IT roles transformation, no-code, user interfaces, SaaS, business context

## Authors

Yves Caseau (Group Chief Digital & Information Officer chez Michelin)

## Ton

**Profile:** Professional-Academic | Institutional first person | Analytical-Educational | Intermediate-Technical

Caseau adopts a hybrid corporate-academic thought-leader tone, structuring 3 theses with visual hierarchy (bold headers). Striking metaphorical language ("AI devours software, as software devours the world", central fishbone metaphor) combined with analytical rigor. Measured skepticism about AI hype ("agentic approaches overestimated, legacy impact underestimated") reveals intellectual honesty. Targets enterprise tech leaders/architects through terminology (MCP backends, legacy systems). Executive authority tempered by field pragmatism.

## Pense-betes

- **Thesis 1**: "AI devours software, as software devours the world"
- **Vibe coding** progresses via orchestration agentique
- **Future systems** will serve humans AND autonomous agents
- **SaaS** will lose traditional user interfaces → flexible backend services
- **Programming remains programming** regardless of language
- **Thesis 2**: Systems engineering endures, transformation but not obsolescence
- **3 professional categories**: Computer System Engineers, Solutions Engineers, Citizen Developers
- **Computer System Engineers**: will code the backbone in traditional AI-assisted code
- **Solutions Engineers**: will program in natural language to orchestrate agents
- **Citizen Developers**: access to sophisticated systems without advanced IT skills
- **3 UI interface fates**: disappearance (simple tasks), no-code migration (medium complexity), retained by IT staff (complex)
- **Thesis 3**: Writing code is easy, maintaining it depends on context
- **Software adaptation** depends on the origin of changes (users, processes, environment)
- **Agentic transition** generally overestimated
- **Legacy systems impact** underestimated
- **Natural language** has limits as a specification language
- **Sometimes specifying = as much work as programming**
- **Abstraction increases** but responsibility/coherence remain central
- **Complexity does not disappear** with AI
- **Business and architectural context** remains crucial
- **Each level of abstraction** has historically reached its limits

## RésuméDe400mots

Yves Caseau, Chief Digital Officer at Michelin, offers a nuanced reflection on the evolution of IT roles in the face of the emergence of generative code AI. Far from predicting the obsolescence of developers, he envisions a profound but structured transformation of roles.

**AI transforms software architecture**

First, generative AI will transform software architecture by enabling orchestration agentique. Future systems will simultaneously serve humans and autonomous agents. However, this evolution does not eliminate programming: it simply changes its modalities. The traditional user interfaces of SaaS applications will be lightened or disappear, replaced by flexible backend services. Nevertheless, programming remains a complex activity requiring rigor and logic, regardless of the language used—whether Python, Java, or natural language.

**Three categories of professionals emerge**

Second, systems engineering retains vital importance. Three categories of professionals will emerge clearly. **Computer System Engineers** will continue to build foundational architectures in traditional AI-assisted code, managing the critical backbones of systems. **Solutions Engineers** will program primarily in natural language to orchestrate agents and compose complex solutions. **Citizen developers** will gain access to sophisticated systems without advanced IT skills, democratizing application creation.

At the same time, user interface tasks will face three distinct fates: simple tasks will disappear, absorbed by agentic intermediation; moderately complex tasks will migrate to accessible no-code tools; only truly complex cases will remain with professional IT staff.

**Context remains king**

Third, writing code becomes relatively trivial compared to software maintenance. System adaptation depends deeply on context: the origins of changes (users, business processes, technical environment), the impact of legacy systems, intrinsic business complexity. The transition to the agentic approach is generally overestimated in discourse, while the inertia of legacy systems is systematically underestimated.

Caseau astutely points out that every historical level of abstraction has reached its limits—assembler to C, C to high-level languages, procedural to object-oriented. Natural language, while powerful for orchestration, does not always constitute an optimal specification language. Sometimes, precisely specifying a system requires as much cognitive work as programming it directly.

**A balanced vision**

This balanced vision acknowledges the transformative impact of AI while preserving the fundamentals of software engineering: complexity management, robust architecture, and deep understanding of business context remain inalienable skills. Abstraction is indeed increasing, but responsibility and architectural coherence remain central—AI accelerates production but eliminates neither complexity nor the need for deep architectural expertise.

## GrapheDeConnaissance

- Yves Caseau —est_instance_de→ Group Chief Digital & Information Officer (CONCEPT, 0.99)
- Yves Caseau —travaille_chez→ Michelin (ORGANISATION, 0.99)
- Yves Caseau —publie→ réflexion sur l'évolution du développeur (DOCUMENT, 0.98)
- vibe coding —est_basé_sur→ orchestration agentique (TECHNOLOGIE, 0.95)
- systèmes logiciels futurs —s_applique_à→ humains et agents autonomes (CONCEPT, 0.93)
- services backend flexibles —remplace→ interfaces SaaS (TECHNOLOGIE, 0.9)
- Computer System Engineers —a_créé→ architectures backbone (CONCEPT, 0.95)
- Solutions Engineers —utilise→ agents conversationnels (CONCEPT, 0.93)
- Citizen Developers —utilise→ systèmes sophistiqués sans compétences IT (CONCEPT, 0.92)
- Yves Caseau —affirme_que→ la transition agentique est surestimée par les discours technologiques (AFFIRMATION, 0.88)
- Yves Caseau —affirme_que→ l'impact des legacy systems est sous-estimé (AFFIRMATION, 0.87)
- Yves Caseau —affirme_que→ le langage naturel a des limites comme langage de spécification (AFFIRMATION, 0.9)
- Yves Caseau —affirme_que→ l'abstraction augmente mais ne supprime pas la complexité intrinsèque (AFFIRMATION, 0.92)
- Yves Caseau —collabore_avec→ Tech.Rocks Summit (EVENEMENT, 0.97)

---
Canonical: https://www.thekb.eu/en/fiches/caseau-evolution-developpeur-ia-generative-2025-11-05/