# exit-vibe-coding-place-vibe-reviewing-mogere-2025-07-07

## Veille

Vibe Reviewing - Alexandre Mogère - AI Agents - Code Audit - Carrefour France - Automation - LinkedIn

## Titre Article

Exit le "Vibe Coding", place au "Vibe Reviewing" !

## Date

2025-07-07

## URL

https://www.linkedin.com/pulse/exit-le-vibe-coding-place-au-reviewing-alexandre-mog%C3%A8re-uxqee/

## Keywords

"Vibe Coding", "Vibe Reviewing", "AI agents", "code audit", "automation", "software quality", "code review", "Carrefour France", "Chapter Lead", "Software Factory", "LLM", "hallucinations", "cross-validation", "static site generator", "documentation", "migration roadmap"

## Authors

Alexandre Mogère (Chapter Lead Software Factory, Carrefour France)

## Ton

**Profile:** Conversational-professional | First-person practitioner | Educational-opinion | Intermediate

Mogère adopts a LinkedIn practitioner's voice blending firsthand experience with practical advice. The provocative title «Exit Vibe Coding, Enter Vibe Reviewing» grabs attention with a memorable play on words. The journey-style narrative structure (initial disillusionment → iterations → methodology) reveals an authentic learning process. Concrete quantification (time cut by a factor of 3) grounds the productivity claims. Explicit caveats ("AI is not a magic wand", skepticism toward "AI evangelists") demonstrate intellectual honesty. Accessible language avoids excessive jargon while still covering technical substance (multi-agent validation, static site generator). Typical of LinkedIn posts by engineering leaders sharing lessons learned from a real implementation, with pragmatic recommendations.

## Pense-betes

- **AI is not a "magic wand"**: requires a rigorous, iterative approach
- **"Vibe Reviewing"**: applying the principles of AI-assisted generation to the code review process
- **Multi-agent cross-validation**: helps detect AI "hallucinations"
- **Time cut by a factor of 3**: significant productivity gain using AI agents for audits
- **Transformation via static site generator**: markdown reports → interactive documentation (VitePress), "gamifies" the process
- **Audit report = living document**: evolves into a migration roadmap
- **Iterative learning journey**: initial disillusionment → functional methodology
- **Human technical expertise essential**: spotting AI errors, providing business context
- **Documented agent as arbiter**: resolves disagreements between human reviewers
- **Templates and pre-instructions**: standardize the process, ensure reproducibility

## RésuméDe400mots

The article «Exit Vibe Coding, Enter Vibe Reviewing!», written by Alexandre Mogère, Chapter Lead at Carrefour France's Software Factory, shares his experience experimenting with AI agents to automate code audits, noting a **significant reduction in time (cut by a factor of 3)** but also difficulties encountered. He emphasizes that **AI is not a "magic wand"** and warns against misleading claims from "AI evangelists" lacking practical experience. The central idea: applying a rigorous approach, similar to "Vibe Coding" (where AI generates the code), but to the code review process, dubbed **"Vibe Reviewing"**.

**Iterative Learning Journey**

Mogère details an iterative learning journey, starting from initial disillusionment through to the development of a functional methodology. He explains that **"Vibe Coding" often oversimplifies** the complexities of shipping a production-ready application, which demands quality, maintainability, security, performance, and visual consistency. While "Vibe Coding" can boost productivity with human validation, an application entirely generated by AI without strict human oversight is not viable in the long term. This realization led him to explore a rigorous, AI-assisted approach to code reviews.

**Multi-Agent Methodological Evolution**

The article describes several iterations of experimentation, from an initial two-phase process leading to AI "hallucinations" to a more refined **multi-agent cross-validation system**. He discovered that simplifying the audit plan could backfire, and that a systematic, methodical approach was more effective. **The key innovation** was the use of a static site generator (VitePress) to transform markdown audit reports into interactive documentation, with search, inline editing, and progress tracking. This approach **"gamified" the audit experience** and made results more accessible and useful.

**Documented Agent as Arbiter**

He also explored using a **documented agent as an arbiter** in disagreements between human reviewers, leveraging the agent's ability to research and provide evidence-backed recommendations. The final iteration focused on standardizing the entire process with **templates and pre-instructions** ensuring reproducibility and facilitating team adoption.

**Effectiveness and Limitations**

The author concludes that the iterative method, with technical guardrails and a focus on interactive documentation, is **highly effective**. He notes, however, some **limitations**, such as the need for human technical expertise to spot AI errors and the agent's lack of business context. The article insists: **the audit report should not be a static document** but a living tool evolving into a **migration roadmap**, guiding backlog management, milestone definition, and even the onboarding of new developers.

**Structural Transformation**

This methodology represents a transformation in how code quality is assessed and maintained, moving from reactive manual reviews to a proactive, systematized, AI-augmented approach. **Multi-agent cross-validation** is particularly innovative, creating checks and balances that prevent the potential hallucinations of a single AI from becoming accepted truth. The transformation of audit reports via a static site generator addresses the common problem of documentation obsolescence, turning dry reports into engaging, searchable, and updatable resources.

**Pragmatic AI Integration**

The final message is pragmatic: AI is powerful for accelerating certain aspects of development and review, but requires thoughtful integration, human oversight, and a systematic methodology to produce real value. The **positioning of "Vibe Reviewing" as the professional counterpart** to the more casual "Vibe Coding" reflects organizations' growing maturity in their approach to AI-assisted development workflows.

## GrapheDeConnaissance

- Alexandre Mogère —travaille_chez→ Carrefour France (ORGANISATION, 0.99)
- Alexandre Mogère —a_créé→ Vibe Reviewing (METHODOLOGIE, 0.97)
- Vibe Reviewing —s_oppose_à→ Vibe Coding (METHODOLOGIE, 0.9)
- Vibe Reviewing —utilise→ cross-validation multi-agents (METHODOLOGIE, 0.95)
- Alexandre Mogère —mesure→ temps d'audit divisé par 3 grâce aux agents IA (MESURE, 0.93)
- agents IA —permet→ hallucinations techniques (CONCEPT, 0.95)
- cross-validation multi-agents —réduit→ hallucinations techniques (CONCEPT, 0.88)
- VitePress —permet→ transformation des rapports markdown en documentation interactive (CONCEPT, 0.92)
- Vibe Reviewing —utilise→ expertise technique humaine (CONCEPT, 0.95)
- rapport d'audit —permet→ roadmap de migration (CONCEPT, 0.88)
- Agent2Agent —améliore→ cross-validation multi-agents (METHODOLOGIE, 0.75)
- Software Factory —fait_partie_de→ Carrefour France (ORGANISATION, 0.97)

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Canonical: https://www.thekb.eu/en/fiches/exit-vibe-coding-place-vibe-reviewing-mogere-2025-07-07/