Routine is a silent killer of time. It doesn't knock on the door, it doesn't demand attention — it's just there. Every morning you open Jira, then Confluence, then three more tabs with documentation, then the chat where someone mentioned an important detail yesterday. And before you know it, half the day is gone, and you haven't written a single line of code — you've only searched, clarified, and switched contexts. 

At Noveo, we noticed this problem a long time ago. Developers spend up to half of their working time on what could be called "information wandering." Outsourcing teams struggle with onboarding, clients struggle with ramp‑ups, and knowledge remains scattered across daily stand‑ups, tickets, and forgotten Google Docs. 

So we asked ourselves: instead of looking for yet another tool, why not create an entity that can search, remember, and act on its own? 

That's how VirtualAgent was born. 

Not One, but a Whole Swarm

We didn't want to build yet another "AI coder" that swallows a prompt and spits out a script. That would be too simple — and too boring. We built a multi‑agent system — a small digital anthill where each agent knows its job. 

At the center is the Architect. It doesn't write code — it thinks. It takes a task from Jira, breaks it down into atoms, figures out what requires development, what needs testing, and what should be updated in the documentation. Alongside it is a registry of agents — virtual engineers: some are strong in .NET, others in React, others in Python. There's even a special critic agent that reviews what's been written and asks uncomfortable questions — like a strict code reviewer, but without personal grudges. 

But the key is that they all share a common memory. We integrated RAG, and now before taking action, every agent dives into Confluence, retrieves relevant documentation fragments, and pulls context from a vector database. No confusion, no "where was that stored?" — everything ever written about the project becomes available in a fraction of a second. 

Unlike local agents or IDE‑based assistants, VirtualAgent's memory serves as a shared backbone for the entire team. Any developer can pick up a task that VirtualAgent needs clarification on, because the "brain" lives in the cloud, not on any one developer's laptop — just like with a real colleague, where different team members can jump in to help. 

What It Looks Like from the Outside 

For a project manager, setting up VirtualAgent feels like onboarding a new employee — except without the coffee and welcome slides. You need to grant access to Jira, Git, Confluence, set up service accounts, specify the engine, and — of course — set budget limits. Because we remember the story of one developer who absent‑mindedly launched an infinite loop of pull request reviews and burned through several thousand dollars' worth of tokens. Since then, we've had a rule: even a digital mind needs a wallet.

After that, tasks from Jira start arriving not at a human developer, but at the virtual Architect. It distributes them, coordinates them, and keeps track of errors. The agents write code, test it, update documentation, and even review each other's work. All of it — in a single flow, without chaos or context switching.

What We Have Under the Hood

We chose LangGraph for orchestration — it's like a conductor's baton for all this chaos. For code generation, we use three approaches simultaneously: Deep Agents, Claude Code, and Codex — we watch which one handles each task better. The tech stack is familiar and reliable: Python, Docker, FastAPI, PostgreSQL, RabbitMQ, and for a clean, user‑friendly UI — React. And yes, the entire RAG stack is built on OpenAI Embeddings, PGVector, and Jina Reranker. But those are just details.

The important part: the code that comes out meets the project's standards, documentation stays up‑to‑date, and the critic agent keeps everyone on their toes.

Why Bother with All of This?

We don't believe AI will replace people. We believe it can take the routine off their hands — free up time for what developers came into the profession for: creativity, complex problems, and unconventional thinking.

On two of our internal projects, VirtualAgent is already handling daily tasks, giving the team members space to focus on more engaging things that require real involvement: architecture design, reviews, strategic decisions.

VirtualAgent isn't a conquering robot. It's a quiet assistant that takes on all the "paperwork" while you're thinking about the architecture of the future.

And it's already working! Not perfectly, but it's learning. And that — perhaps — is the most exciting part: watching a digital team gradually become part of the living one.

Would you trust your code to agents? Or do you still prefer to search for information across three tabs and remember everything by heart? The choice is yours. We've already made ours.