CodeChey is your intelligent coding assistant — powered by local LLMs, running privately inside your IDE. Autocomplete, explain, refactor, and ship with confidence.
From intelligent autocomplete to deep refactoring — CodeChey accelerates every phase of development inside your editor.
Context-aware autocomplete driven by natural language prompts. Understands your entire codebase — not just syntax.
Real-timeExplain any snippet in plain English. Makes debugging, onboarding, and code reviews dramatically faster and clearer.
NLP-PoweredActionable suggestions to improve quality, performance, and best practices — applied with a single click from chat.
One-click ApplyPython, JavaScript, TypeScript, Java, Go, Rust, C++, and more — all in a unified interface with consistent context.
12+ LanguagesMulti-agent orchestration, contextual memory, and task decomposition for complex, multi-file coding scenarios.
Agentic AIVector-indexed semantic search gives the LLM real project context — not generic guesses from pre-training data.
RAGA seamless loop from your editor to an AI-powered response — entirely inside your environment, zero external calls.
Highlight any function, file, or type a natural language prompt in the CodeChey VS Code chat panel.
CodeChey indexes your codebase using RAG, providing the LLM with grounded project context for accurate responses.
Your local LLM generates completions, explanations, or refactors — privately, with no external API calls made.
Review the diff, apply edits, and create files — all from the chat panel without ever leaving your IDE.
Production-grade architecture designed for performance, scalability, and extensibility at every layer.
Modular FastAPI services handle LLM inference, completions, and chat. API gateway manages auth, routing, and rate limiting.
Custom LLM integration with per-customer LoRA adapters for domain-specific fine-tuning. Supports local Ollama models.
Semantic code search via vector embeddings and retrieval-augmented generation gives contextually accurate, grounded answers.
PostgreSQL for persistent state, Redis for high-speed caching, Cosmos DB for scalable hierarchical contextual memory.
First-class extension with inline chat, file creation, code actions, multi-provider support — zero context switching.
Full container support with Helm charts, ArgoCD CI/CD, automated testing, monitoring, and rollback strategies built-in.
Designed from the ground up for environments where data privacy and compliance are non-negotiable.
CodeChey operates entirely within your network. No code, no prompts, no telemetry is ever sent externally — not for inference, not for analytics, not for model training.
RBAC, OAuth2, and JWT for secure user and agent authentication with granular workspace and project isolation.
TLS/SSL for all data in transit. AES-256 for data at rest. No plaintext sensitive data at any layer of the stack.
Comprehensive audit logging, real-time monitoring, and compliance with GDPR, SOC 2, and relevant industry standards.
AI-driven anomaly detection, automated dependency scanning in CI/CD pipelines, and regular penetration testing.
CI/CD pipelines with automated security checks, minimal-surface containerized deployments, and rollback protection.
Whether you're shipping production systems or writing your first function — CodeChey meets you where you are.
Join the waitlist for CodeChey v1.0 and transform the way your team writes code. Private beta spots are limited.
send an email to: info@poojitha.com