Delegate tasks deliberately
Start with clearly bounded tasks where acceptance criteria, tests, and reviewers are already defined.
Product
AI Agent
4 modes, 19+ tools, extended thinking
Code Review
Automated reviews with HTML/JSON export
Security Scanning
4 scan skills, SARIF, inline diagnostics
Multi-Agent
Autonomous planning with quality gates
Team management
Wallet, budgets, and admin policies
Git & GitHub
Automated commits, PRs, and issues
Testing & TDD
Test generation and TDD workflows
Documentation
Auto-docs, Mermaid, Changelog
IDE & CLI
Extensions
Skills
Community skills and custom commands
MCP Integration
Model Context Protocol servers
Custom Agents & Rules
Custom agents, rules, LURUS.md
Code Indexing
Semantic search with RAG
Hooks
Event automation with 11 events
Web Search & Browser
Brave Search, browser automation
Permissions
Sandbox isolation, file guards, command allowlists
API Keys
Token-based auth for CI/CD and headless environments
Security
GDPR & Data Protection
Your code is never stored. GDPR-compliant processing with immediate data deletion.
View our security standardsFor engineering teams
Frame AI coding within existing engineering standards
Lurus Code helps teams evaluate agentic workflows for planning, implementation, tests, and reviews within clear access, quality, and data-path boundaries.
For engineering teams
Keep quality gates intact
AI-assisted work complements existing tests, code reviews, and deployment processes instead of bypassing them.
Understand data paths clearly
Model, provider, and processing region are documented per route; Zero Data Retention and no training on customer data apply by default.
Learn from the pilot
Evaluate quality, cycle time, cost, and team adoption before expanding use.
Start with a limited pilot
First assess your team’s prerequisites or frame a concrete workflow together.