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fjjjuv/README.md

Typing SVG

👤 Mon profil

Développeur Full Stack et explorateur tech, je combine rigueur académique (Bac-pro CIEL) et curiosité autodidacte. Mon focus est mis sur la création d'expériences fluides et de solutions backend robustes.

  • ⚡ Méthode : Recherche de solutions sécurisées et contributions quotidiennes.
  • 🚀 Objectif : Automatisation totale des workflows et optimisation UI/UX.
  • 🌱 Expérimentation : IA (TensorFlow/PyTorch) et environnements hybrides.

🚀 Projet phare : prompt-flamegraph

Profile tes prompts LLM : flamegraph interactif des tokens, détection de gaspillage, diff entre versions, budget CI. Zéro dépendance, 100% local.

PyPI version PyPI downloads Python versions License

GitHub · PyPI · Documentation

🛠️ TECH_STACK & ECOSYSTEM

🌐 Frontend & Core Languages

🏗️ Backend & Infrastructure

💻 Environments & Tools

⚡ EXPERIMENT

  • Mobile Architecture : Développement Cordova avec gestion de superposition et prévention de veille.
  • Data Mapping : Intégration cartographique dynamique avec Leaflet.
  • Google Labs : Expérimentations sur Antigravity.
  • DevOps : Workflows GitHub automatisés et scripts Shell/Python.

📊 PERFORMANCE

GitHub stats Top languages
Streak Stats

🐍 CONTRIBUTION_FLOW

Snake animation

🔗 SECURE_COMMUNICATION

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  3. prompt-flamegraph prompt-flamegraph Public

    Lightweight, zero-dependency Python package to profile LLM prompt tokens with interactive flamegraphs, waste detection, prompt diffs and HTML/SVG/Markdown/terminal exports.

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  4. prompt-optimizer prompt-optimizer Public

    Companion tool to prompt-flamegraph: automatically trims LLM prompts (dedup, history truncation, tool schema minify, RAG trim). Zero-dependency stdlib core.

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