abundantsoftware.eu - for the era of:
DevOps architecture for the era of AI-generated software at scale
FROM VERTICAL TO HORIZONTAL
VERTICAL SCALING
OpenAI Codex • Lovable • Cursor
Current AI coding tools excel at building one application through iterative feedback loops:
- →Write code for a single project
- →Get immediate feedback
- →Iterate until complete
- →Manual deployment and maintenance
Result: Deep focus on single applications, limited scalability
HORIZONTAL SCALING
Peakz Platform
AI agents now have enough autonomy to manage multiple applications simultaneously:
- →Define statements of purpose (SOPs)
- →Batch generate codebases
- →Version and track all artifacts
- →Automated deployment and updates
Result: Manage 10, 100, or 1000 purpose-built applications
ARCHITECTURE
SYSTEM FLOW
SOP
→
Worker+AI
↓
Codebase.tar.gz
↓
PostgreSQL
MinIO
↓
Container + Agent
↓
User Feedback
↻ iterate
KEY COMPONENTS
- FastAPI Backend
REST API for managing SOPs, codebases, and deployments - Celery Workers
Background task processing for code generation - Docker
Isolated environments for generation and deployment
DATA FLOW
- PostgreSQL
Stores SOP metadata, generation logs, and deployment status - MinIO (S3)
Object storage for versioned codebase artifacts - Redis
Task queue and result backend for async processing
PLATFORM FEATURES
┌───┐ │ # │ │ = │ └───┘
Statement of Purpose
Define your software goals in natural language. The platform handles the rest.
[CPU] ╔═╗ ║▓║ ╚═╝
Autonomous Generation
AI agents work in isolated containers to generate production-ready code.
▓▓▓▓ █ v1 █ v2 ▀▀▀▀
Version Control
Every codebase is hashed, versioned, and stored for complete traceability.
▲▲▲ / \ ┌───┐ └───┘
One-Click Deploy
Deploy any generated application instantly with automated containerization.
┌───┐ │ ↻ │ └───┘
Batch Regeneration
When new models arrive, regenerate all apps to leverage improvements.
┌───┐ │>_ │ │...│ └───┘
Live Feedback
Deployed apps include live agents for real-time user feedback and iteration.