Case study
PromptOps Manager: orchestrating AI agents inside development projects
schedule3 min
calendar_today20 March 2026
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The Shellonback product that turns AI agents into a real operating system for developers
In recent months tools such as Claude Code, Codex, Gemini and Copilot CLI have started to radically change the way we develop software.
We are no longer dealing with simple assistants, but with actual agents able to read code, run commands and interact with the development environment.
The problem?
A lack of structure.
Scattered prompts, lost context, workflows that cannot be replicated.
Enormous power, but hard to manage on real projects.
This need is where PromptOps Manager, a product developed by Shellonback, comes from.
What PromptOps Manager is
PromptOps Manager is a desktop app designed to orchestrate AI agents directly inside development projects.
It is not another AI tool.
It is an operational layer on top of the existing tools.
The goal is simple:
to turn the use of AI agents from an experimental approach into a structured, productive workflow
The concept is based on PromptOps, the idea of turning prompts and AI models into complete, integrated and scalable operational processes
What it does in practice
PromptOps Manager introduces a working environment in which AI agents operate directly on the project, with access to:
- code
- filesystem
- terminal
- database
- git
All organized into sessions and workspaces.
Workspaces and multi-project sessions
Each project is managed inside a workspace.
Within the same project you can:
- open several parallel sessions
- work on different tasks at the same time
- isolate contexts (debug, development, deploy)
An approach similar to an advanced IDE, but driven by AI agents.
Sub-agents and structured workflows
You no longer work with a single prompt.
You can:
- create specialized sub-agents
- assign specific tasks (debug, refactor, security, performance)
- build complete, reusable workflows
A prompt becomes an operational process.
Advanced Prompt Manager
Prompts are no longer temporary.
They are:
- saved
- versioned
- reused
- structured into workflows
This removes one of the main problems: starting from scratch every time.
Multi-provider AI
PromptOps Manager is designed to be model-agnostic.
It supports:
- Claude
- Codex
- Copilot
- Gemini
So you can choose the most suitable provider for each task.
AI-native Git
Git integration is native:
- staging of files and folders
- automatic generation of commit messages from the diff
- AI-assisted branch management
All directly inside the session.
Automatic Database Explorer
One of the most interesting points:
- automatic detection of the .env
- direct connection to the database
- read-only browsing of tables and data
- dynamic filters on fields
With no manual configuration.
Docker and runtime integration
Agents can interact with the runtime environment:
- starting Docker services
- status analysis
- dependency management
All orchestrated directly from the workspace.
Voice control and terminal injection
PromptOps Manager also introduces a voice control layer:
- navigating between sessions
- opening projects
- running commands in the terminal
A real operational assistant, not just a text-based one.
Automations and hooks
You can define:
- automatic triggers
- actions on agents
- repeatable workflows
Bringing AI into the operational logic of the project.
Who it is for
PromptOps Manager is designed for:
Developers
who already use AI tools and want:
- more control
- less chaos
- higher productivity
Tech teams and software houses
who work on several projects and need:
- standardization
- replicable workflows
- centralized management
Founders and startups
who want to:
- speed up development
- reduce delivery times
- get the most out of AI agents
Which problems it solves
PromptOps Manager was created to solve concrete problems:
Scattered prompts
→ centralization and reuse
Loss of context
→ structured sessions per project
Flows that cannot be replicated
→ workflows that can be saved and reused
Chaotic use of AI agents
→ controlled orchestration
Inefficiency across different tools
→ a unified environment
The real value
The real change is not technological, but operational.
PromptOps Manager lets you move from:
occasional use of AI
to
structured integration into development processes
The same principle behind PromptOps: turning AI into an operating system for real, measurable and scalable tasks
Conclusion
PromptOps Manager does not replace tools such as Claude Code or Codex.
It makes them actually usable.
It organizes, structures and orchestrates their use in an environment designed for real projects.
Try PromptOps Manager
If you want to test it or follow its development:
You can leave your email to get early access and receive updates.