Claude Code pour les workflows d'ingénierie

Ce qu'elle couvre

Cette formation de niveau praticien permet aux ingénieurs logiciels et aux équipes DevOps d'acquérir une maîtrise approfondie de Claude Code, l'outil d'IA agentique en ligne de commande d'Anthropic. Les participants apprennent à orchestrer des sous-agents, configurer des serveurs MCP (Model Context Protocol), créer des commandes slash personnalisées et concevoir des boucles autonomes sécurisées avec des hooks de permission. Les sessions alternent enseignement structuré et exercices pratiques en laboratoire, couvrant des scénarios concrets tels que les pipelines de revue de code automatisée, la refactorisation à l'échelle d'un dépôt et l'intégration CI/CD. À l'issue de la formation, les équipes sont capables de concevoir, auditer et maintenir des workflows Claude Code fiables en environnement de production.

À l'issue, vous saurez

• Configure a Claude Code project with MCP servers, custom tools, and permission policies from scratch
• Build a multi-step subagent workflow that autonomously completes a defined engineering task within safe boundaries
• Write and publish custom slash commands that encapsulate team-specific coding patterns
• Integrate Claude Code into a CI/CD pipeline to automate code review and test generation on pull requests
• Design and validate permission hooks that prevent unsafe file modifications or external calls in autonomous loops

Sujets abordés

• Claude Code CLI setup, authentication, and project configuration
• Subagent orchestration and multi-step agentic task design
• Model Context Protocol (MCP): server setup, tool registration, and context management
• Custom slash commands and workflow automation scripting
• Permission hooks and safe autonomous loop design
• Integrating Claude Code into CI/CD pipelines (GitHub Actions, GitLab CI)
• Automated code review, test generation, and repository-wide refactoring
• Monitoring, observability, and failure recovery for agentic workflows

Modalité

Delivered as a 2–3 day intensive bootcamp, available in-person or as live virtual instructor-led sessions. Each half-day block is split roughly 30% instruction and 70% hands-on lab work in participants' own repositories or provided sandboxes. Participants require a machine with Claude Code installed and API access provisioned in advance. Lab exercises use real codebases where possible; synthetic repositories are provided as fallback. A shared Slack or Teams channel is maintained for async Q&A during and after the bootcamp.

Ce qui fait que ça marche

• Start with tightly scoped, read-only agentic tasks before expanding to write or execute permissions
• Establish a shared library of approved slash commands and MCP configurations in a team repository from day one
• Instrument agentic workflows with logging and cost-tracking from the outset to catch anomalies early
• Run a blameless retrospective after the first production Claude Code workflow to capture learnings and refine permission policies

Erreurs fréquentes

• Granting overly broad file-system or shell permissions to agents without scoping hooks, leading to unintended destructive operations
• Skipping MCP server validation and assuming Claude Code inherits safe defaults from the IDE environment
• Building autonomous loops without circuit-breakers or human-in-the-loop checkpoints, causing runaway API cost spikes
• Treating slash commands as one-off scripts rather than versioned, documented team assets stored in the repository

Fournisseurs à considérer

• Anthropic Academywww.anthropic.com/learn →
• Le Wagonwww.lewagon.com →
• Jedha Bootcampwww.jedha.co →
• Zero to Masteryzerotomastery.io →

Sources

• Claude Code Overview — Anthropic Documentation →
• Model Context Protocol Introduction — Anthropic →