FORMATION IA
Replit pour le prototypage IA-first
Créez et déployez des prototypes IA fonctionnels en quelques heures grâce à Replit Agent et aux workflows vibe-coding.
Ce qu'elle couvre
Les participants apprennent à utiliser l'environnement natif IA de Replit — notamment Replit Agent, Ghostwriter et le déploiement en un clic — pour passer d'une idée à un prototype en production sans équipe d'ingénierie dédiée. Le programme couvre la sélection de templates, le développement itératif guidé par prompts, la gestion des secrets et les cas où Replit surpasse des alternatives comme Bolt ou Lovable. Les sessions alternent démonstrations live et exercices pratiques guidés, de sorte que chaque participant repart avec au moins un prototype déployé et partageable.
À l'issue, vous saurez
- Set up a Replit workspace, configure environment variables, and deploy a live web app within the first session
- Write structured vibe-coding prompts that reliably generate working application scaffolds using Replit Agent
- Integrate at least one external AI API (e.g. OpenAI or Anthropic) into a prototype without writing boilerplate from scratch
- Apply a decision framework to choose between Replit, Bolt, and Lovable for a given prototype requirement
- Hand off a deployed Replit project to a technical team with clean documentation and reproducible setup
Sujets abordés
- Replit Agent: prompt-to-app generation and iterative refinement
- Choosing the right template for web apps, APIs, and data dashboards
- Vibe-coding workflows: structuring natural-language instructions for reliable output
- Secrets, environment variables, and basic security hygiene in Replit
- One-click deploy, custom domains, and sharing live previews
- Integrating external APIs and AI models (OpenAI, Anthropic, etc.) inside Replit
- Replit vs Bolt vs Lovable: decision framework for AI-first builders
- Debugging and iterating with Ghostwriter in the editor
Modalité
Delivered in person or fully remote via video call with shared Replit multiplayer sessions; participants work in pairs on their own Replit accounts. Roughly 70% hands-on build time, 30% facilitated instruction and group critique. Materials include a curated prompt library, a template selection guide, and a decision matrix for no-code/low-code AI tooling. A follow-up async Q&A channel is recommended for the two weeks post-workshop.
Ce qui fait que ça marche
- Participants arrive with a real prototype idea they need to validate, giving hands-on exercises immediate business relevance
- Establishing a shared prompt library and template repository that the team can reuse after the workshop
- Pairing non-technical participants with a technically curious peer during builds to sustain momentum post-training
- Setting a 30-day post-workshop goal: each participant ships one internal tool or demo using Replit independently
Erreurs fréquentes
- Writing vague, goal-level prompts to Replit Agent instead of scoped, step-by-step instructions — leading to bloated or broken scaffolds
- Skipping secrets management and hardcoding API keys directly in files, creating security exposure on public repls
- Treating the first Agent-generated output as final rather than using it as a starting scaffold to iterate on
- Choosing Replit for complex multi-service architectures where a proper dev environment would be faster
Quand NE PAS suivre cette formation
This workshop is not the right fit for teams that already have in-house developers and need production-grade infrastructure — Replit's deploy environment has meaningful limitations on concurrency, persistence, and cost at scale, and those teams will hit those ceilings quickly.
Fournisseurs à considérer
Sources
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