The Problem I’m tired of "AI Agent" platforms that are just thin wrappers around OpenAI. You don't own the code, you can't see the logs, and if they shut down, your agent dies.
The Solution I spent the last few months building Cyber AI Meld. It’s a "Meta-Programming" engine that takes a user prompt and generates a full, production-ready backend.
It’s not a low-code drag-and-drop tool. It writes actual Python code.
How it works (The Pipeline)
Prompt: You ask for a "Legal Assistant with PDF RAG".
Code Generation: The LLM writes main.py (FastAPI), Dockerfile, requirements.txt, and cyber-stack.yml.
❤️🩹 Self-Healing (The cool part): Before showing you the code, the system runs a CI pipeline internally with Black and Flake8. If there’s a syntax error, it catches the traceback, feeds it back to the LLM, and fixes the code automatically. It does this loop up to 3 times.
Deploy: It pushes to a dedicated Docker Swarm cluster.
The Infrastructure (Sovereign Cloud) This was the hardest part to build. I didn't want to use standard managed hosting.
Secrets in RAM: API Keys are injected via /run/secrets/. They are never exposed in env vars.
Isolation: Each agent gets its own Overlay Network and private Postgres instance.
Custom Proxy: I built a custom reverse proxy (Golang/Python) to handle dynamic SSL generation for each new agent instantly.
See it in action (49s video): [https://youtu.be/cVE8f5_uDSk?si=x1SEOhtq5mo1IvtP]
Status: Alpha I’m looking for brutal feedback on the generated code quality. I’m opening 20 Free Spots on our cloud cluster today to test the load.
You can try the generator (and download the .zip to run locally) here: 👉 [https://app.cyberaimeld.com]
Let me know if you manage to break the self-healing loop! 🐛
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