Claude in my projects

Claude, my copilot
for audits and engineering.

Alongside ChatGPT for content production, I use Claude (Anthropic) as a technical copilot for tasks demanding more rigor: auditing existing code, analyzing large datasets, writing technical specifications and architecture recommendations. Again, this is a tool in my process — not a product I sell you.

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5,0/5 · 65 verified reviews 50+ projects shipped 10 years

L'intégration d'un assistant conversationnel dans un site ou un back-office suit la même logique quel que soit le modèle : ce qui fait la qualité du résultat, ce n'est pas le modèle mais ce qu'on lui donne à voir. Un assistant branché sur votre catalogue réel, vos délais réels et vos conditions réelles répond juste ; le même sans contexte invente. Je traite la partie technique — connexion à l'API, limitation du périmètre aux données vérifiables, plafonds de consommation, journalisation — et la partie conformité, puisque les échanges peuvent contenir des données personnelles.

Ces intégrations relèvent du forfait Premium ou d'un devis spécifique selon l'ampleur.

Features

What you get.

01

Codebase audits

Fast analysis of large codebases to identify technical debt, potential security flaws and priority refactoring areas.

02

Data analysis

Processing and summarizing large data volumes (e-commerce exports, logs, statistics) to extract actionable business insights.

03

Technical specifications

Drafting detailed specification documents for your development projects, clearer and more thorough thanks to an initial AI-assisted pass.

04

Architecture recommendations

Decision support on structural technical choices (migration, redesign, stack selection), cross-checking multiple scenarios before recommending the best fit.

05

Technical documentation

Production of clear, up-to-date documentation for your custom projects: installation guides, API documentation, detailed READMEs.

Method

How we proceed.

01

Identifying the need

Spotting tasks where AI-assisted analysis brings real value: large volumes of code or data, documentation to produce quickly.

1-2 days
02

Context preparation

Gathering the relevant material (codebase, data exports, existing documentation) for a reliable, well-contextualized analysis.

1-2 days
03

Assisted analysis

Audit or analysis via Claude, producing a first structured report: findings, identified risks, recommendations ranked by priority.

Variable, depending on scope
04

Validation & finalization

I validate, complete and format the conclusions with my domain expertise before delivering them to you as a report or actionable recommendations.

Systematic
FAQ

Frequent questions

Will Claude analyze my sensitive source code? +
Only with your explicit agreement and within a scope defined together. For very sensitive projects, I can work on anonymized excerpts or a local analysis without going through AI, depending on your constraints.
Why Claude rather than ChatGPT for technical work? +
Both tools are excellent, but Claude performs particularly well on analyzing large volumes of code or long documents in one pass, with rigorous reasoning. I use each tool where it excels, rather than out of dogmatism.
Does this replace a full human audit? +
No, it's an accelerator for the first step. AI analysis quickly identifies areas to investigate; human expertise remains essential to prioritize, contextualize and validate recommendations before action.
On which projects do you use Claude the most? +
Mainly on redesign projects (auditing the existing setup before proposing a new architecture) and large-scale custom projects, where writing precise specifications is critical to project success.
See also

Related pages.

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