Intelligent Systems
The Operating System
The infrastructure behind all products. AI agents develop software, 190 automatic rules prevent errors before they happen. Monitoring across 84 containers. A system that learns from every mistake and improves itself.
Case Study
Problem
Software development without systematic quality control leads to recurring errors. Knowledge lives in heads instead of systems. Every bug can happen again because nobody recognizes the pattern.
Solution
AI agent ecosystem with automatic rules that block errors before they reach production. Every bugfix becomes a prevention pattern. Monitoring across all containers, self-healing for known issues.
Result
96% of all quality rules machine-enforced. Errors happen once, never twice. The system learns from every incident and becomes more robust every day.
What the solution does
AI Agent Ecosystem
Specialized agents for development, QA, security, DevOps and content. Each agent knows its domain, all share a common knowledge base. Over 40 skills for recurring tasks.
190 Automatic Rules
Hook system that blocks errors before they reach production. PII protection, branch guards, build validation, security scanning. 96% of all quality rules are machine-enforced.
Self-Learning Processes
Every bugfix, every deployment, every decision is documented and indexed. Error patterns are detected, proven solutions crystallize into permanent rules.
Monitoring Across 84 Containers
Prometheus, Grafana, Loki for logs. Uptime Kuma for availability. Automatic health checks every 5 minutes, self-healing for known issues.
Key figures
190
Automatic Rules
84
Monitored Containers
82
AI Skills
24.175
Documents in Vault
Tech stack
Infrastructure That Thinks Along?
Software development with AI agents, automatic quality rules and self-learning processes.
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