What's great
qRaptor has become our go-to platform for vibe-coding, building automation and AI agents across the cloud lifecycle. What started as a small experiment with a single agent evolved into true multi-agent workflows—agents that talk to each other, trigger executors, and complete tasks without manual intervention.
We now publish live agents in hours—RAG agents, autonomous troubleshooting agents, even resource execution agents. Use cases that once required days of designing workflows now take a fraction of the time. We work with multiple cloud-related tools, and qRaptor’s MCP integration makes connecting everything effortless.
Fast to build, easy to integrate, and flexible without complexity—qRaptor is now a core pillar of our CloudOps automation strategy.
What needs improvement
qRaptor already excels at agent orchestration. Expanding support for using multiple AI models and the option to onboard our own models would open up even more advanced use cases.
How customizable is prompt-based Vibe Code beyond no-code?
Vibe Code lets you start with prompts, and when you need more control, you can switch to the built-in editor. You can modify the generated logic, edit prompts step-by-step, add API calls or code, and connect external tools — all from the editor.
Are there limits for complex multi-step workflows?
I have not come across any limits.
What limits exist on tokens, requests, or concurrency?
Limits are bound to the subscription type offered. We opted Add-ons when we exhaust any limits on tokens.