Mirai Labs

Mirai Labs — AI Code

The sovereign AIcoding assistant.

Designed to make you incredibly productive while keeping your code and IP protected. Run entirely inside your infrastructure, fully under your control.

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Code & IP Protection

All code stays inside your infrastructure ensuring sovereignty, governance, and compliance.

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Faster Development

Developers ship features faster with context-aware completions, automated refactoring, and in-IDE debugging.

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Fewer Bugs

Built-in compliance and code-quality checks reduce bugs and vulnerabilities across large codebases.

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Team Scalability

Support thousands of developers efficiently while maintaining speed, security, and compliance.

AI Code

Enterprise-grade features
to code securely at scale.

From model selection to team governance — every feature is built for productivity without compromising your code or your IP.

Model Flexibility with Cluster Manager
Choose any model through Cluster Manager and decide how and where inference runs across cloud, on-prem, or air-gapped environments.
Cluster Manager — Deployed Models
AI Code
Llama
Claude
DeepSeek
Falcon
Mistral
GPT-4

Cloud, on-prem, or air-gapped — your choice

Context-Aware Completions
From single lines to full functions and boilerplate, AI Code delivers tailored suggestions to speed up development and reduce errors.
invoice.pyAI suggesting
1def calculate_invoice(items, tax_rate):
2 subtotal = sum(i['price'] * i['qty']
3 for i in items)
4 tax = subtotal * tax_rate
5 return {
6 "subtotal": subtotal,
7 "tax": tax,
8 "total": subtotal + tax,
9 "items": len(items)
10 }
Context sources
Current file
Project context
Type signatures
Intelligent Refactoring & Inline Edits
Select any code block and let AI Code refactor, optimize, or rewrite it. Great for migrating frameworks, improving performance, or enforcing consistent style across teams.
test_factorial.py
test_factorial.py
1import pytest
2from factorial import factorial
3 
4def test_factorial_zero():
5 assert factorial(0) == 1
6 
7def test_factorial_small():
8 assert factorial(5) == 120
9 assert factorial(0) == 1
Write pytest unit tests
In-Editor Chat & Natural Language Commands
Ask questions or give instructions in plain English — add error handling, generate tests, or debug failing code — and AI Code applies changes directly in your IDE.
In-Editor Chat
main.py
# main.py (untouched)
# Your app code
# continues here.
 
# Chat mode suggests
# code in the side
# panel without
# editing this file.
palindrome_checker.py
def is_palindrome(s):
"""
Check if a string
is a palindrome.
"""
cleaned = ''.join(
c.lower() for c
in s if c.isalnum()
)
return cleaned ==
cleaned[::-1]
Write a function to check if a string is a palindrome.
Codebase Awareness with Privacy
Understands modules, dependencies, and architecture while keeping all code and IP secure inside your environment.
Code never leaves your environment
All inference runs locally — no external API calls, no data exfiltration
understands your entire codebase
Modules
local
Dependencies
local
Architecture
local
APIs
local
Tests
local
Team & Project Configs
Define separate configurations for different teams and projects without losing governance or control.
AI Code
Teams
Projects
Governance

Separate configs per team, no governance compromise

FAQ

Common questions

Everything you need to know about deploying and using AI Code in your engineering environment.

AI Code combines developer productivity with enterprise sovereignty. It runs entirely within your infrastructure, keeping code and IP fully protected while embedding AI assistance directly in your IDE.

Sovereign AI Infrastructure

Run AI on infrastructure you control, with tools to deploy, manage, and scale models, agents, and workloads.