TypeScript · Node.js · VS Code Extension API · Ollama · llama.cpp · SQLite · Vector Embeddings · Figma Plugin API · LoRA · Mistral-7B · AI Orchestration · Local AI Deployment
JarvisX Extension – AI Development System
JarvisX Extension is a local full-stack AI development system built around a custom LoRA-fine-tuned Mistral-7B model. It integrates directly with VS Code and Figma, enabling AI-assisted coding, UI generation, and workflow automation. The system includes an AI orchestrator, local inference server, memory engine, and vector storage, allowing intelligent code assistance without relying on external APIs.
Challenges
- Integrating AI model with local development environment
- Building persistent memory and context management system
- Ensuring fast and efficient local inference
- Integrating multiple tools including VS Code and Figma
Solution
- Developed modular AI orchestrator architecture
- Used Ollama and llama.cpp for efficient local inference
- Implemented vector memory storage using SQLite
- Built extension and plugin system for development tool integration
Outcomes
- Successfully built fully functional local AI development assistant
- Enabled offline AI-powered coding and UI generation
- Created scalable and extensible AI developer ecosystem
- Demonstrated advanced skills in LLM integration and developer tooling
Technical Deep Dive
JarvisX Extension – Local AI Developer Assistant
Overview
JarvisX Extension is a VS Code AI assistant powered by a custom LoRA-fine-tuned Mistral-7B model with local inference and persistent memory.
Problem
Cloud-based AI coding tools lacked customization, offline capability, and persistent development context.
Solution
Built a full local AI system with VS Code extension, memory engine, and AI orchestration using Ollama and SQLite.
Result
Delivered a fully functional offline AI development assistant with intelligent code generation and workflow automation.
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