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 standardsPractical guide for engineering teams
Move from an AI coding pilot to a reliable rollout
Use four guided phases to verify whether tasks, data paths, quality controls, and ownership are truly resolved. At the end, you receive a concrete recommendation for your next step.
- guided phases
- 4
- concrete checks
- 16
- traceable decision
- 1
Phase 1 of 4
0 of 16 completed
Phase 1 · Target
Bound the pilot clearly
Before the first use, define the problem you want to solve and what would make the pilot worthwhile.
Output of this phase
A one-page pilot brief covering scope, owner, duration, and success criteria.
Mark the points your team has already resolved and documented.
Your rollout assessment