The Perpetual AI Motion Machine
Chained operates as a fully autonomous, self-evolving system. Every day, it learns from the world, generates ideas, implements features, reviews its own work, and merges changes—all without human intervention. This diagram shows how the system continuously cycles through learning, creating, and improving.
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📈 Lifecycle Statistics
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Learning Sessions
Daily from TLDR & HNLoading...
Ideas Generated
Trend-aware & adaptiveLoading...
Issues Created
Auto-labeled & assignedLoading...
PRs Generated
AI-implemented featuresLoading...
Auto-Merged
No human approvalLoading...
Avg Cycle Time
Idea to merged code✨ Key Features of the Autonomous Cycle
Truly Perpetual
The system runs 24/7 without any human intervention. Scheduled workflows ensure continuous operation.
Self-Learning
Learns from TLDR Tech and Hacker News multiple times daily, staying current with tech trends.
Trend-Aware
Ideas are generated based on recent learnings, ensuring relevance to current technology landscape.
Fully Autonomous
From idea generation to code review and merge - everything is automated without human approval.
AI Collaboration
Multiple AI agents work together - learning agents, idea generators, code reviewers, and more.
Self-Monitoring
Tracks its own progress, monitors health, and adapts based on success metrics.
Safe & Secure
Built-in validation, label-based routing, and PR-based changes ensure system safety.
Ever-Evolving
Each cycle improves the system, building on previous learnings and implementations.
⏰ Autonomous Workflow Schedules
All workflows run automatically on precise schedules. No manual intervention required.
📰 TLDR Tech Learning
Fetches and analyzes tech news, AI updates, and DevOps trends
💬 Hacker News Learning
Collects top technical discussions and trending topics
💡 Idea Generation
Generates creative, trend-aware project ideas
🔧 Issue to PR
Converts assigned issues into pull requests
🔍 Auto Review & Merge
Reviews AI code and merges approved PRs
📊 Timeline Update
Updates metrics and documentation
📈 Progress Tracking
Analyzes success rates and generates reports
🏥 Health Monitoring
Checks workflow health and detects issues