radu stanciu/network

Radu Stanciu :: AI-assisted software engineering

We can build anything.

AI-assisted engineering turns ideas that once needed a team and a year into working software in weeks. I design, build and hand over AI agents, automations and products that your business owns, end to end.

You are node #0. This page is a live system, and yours can be next.

Proof, not prompts.

AI makes building fast. Experience makes it right. Every claim carries an id and a revision, so watch them sync.

20+

Years shipping software

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Two decades of engineering judgment, now multiplied by AI-assisted tooling from first decision to production.

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1000+

CouchDB instances

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Distributed data foundations in the field: the ground truth your AI agents can safely read from.

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100%

Owned by the client

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Your code, data, prompts and models. Private by design, no platform lock-in, no black boxes.

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Vue · CouchDB · Go · AI agents

A practical sovereign stack

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Interfaces, services, data and AI agents designed and shipped as one product.

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From first prompt to a system that runs without me.

Four steps from AI curiosity to AI in production. Scroll to watch the network form, take on real work, and keep running when I step away.

  1. AI Strategy

    Find where AI pays off first.

    Map your processes, data and team to the few AI use cases with a clear return, so the roadmap starts with outcomes instead of hype.

    • AI readiness assessment
    • Use-case and ROI map
    • Data and privacy plan

    Topology state: single node · The network collapses to one node and one open question.

    RSone node · one question
    Where would AI give this business its biggest lever?
  2. AI Integration

    Connect AI to your data, safely.

    Wire models into the CRM, ERP, documents and tools you already run, with private knowledge bases, guardrails and clear boundaries for what AI may touch.

    • Integration with existing systems
    • Private knowledge base (RAG)
    • Guardrails and governance

    Topology state: clusters · Nodes settle into four labelled clusters: UI, services, data and payments.

    UISERVICESDATAPAYMENTSRSfour clusters · routed via RS
  3. AI Agents & Automation

    Agents that do the work, not just chat.

    Build AI agents, customer-service assistants and workflow automations around the interfaces and services your team uses every day, with measurable quality.

    • Workflow automation agents
    • Customer-service assistants
    • Vue and Nuxt interfaces

    Topology state: full traffic · Every link carries documents and agent tasks at full density through the RS node.

    UISERVICESDATAPAYMENTSRSfull traffic
  4. Handover & Enablement

    Your team runs it, improves it, owns it.

    Ship to production, monitor quality and cost, then train your people so the AI keeps improving after launch, without depending on me.

    • Production launch and monitoring
    • Team AI training
    • Documentation and knowledge transfer

    Topology state: builder offline · The RS node disconnects and drifts away. Links re-route between the clusters and traffic keeps flowing.

    builder offline · cluster healthy · 0 requests lost

    UISERVICESDATAPAYMENTSRSbuilder connected
    before · builder connected
    UISERVICESDATAPAYMENTSRS · offlinebuilder offline · cluster healthy
    after · builder offline · cluster healthy · 0 requests lost
single node

Where would AI give this business its biggest lever?

AI Strategy: The network collapses to one node and one open question.

nodes 1 · links 0 · one decision pending

Real systems, still running. Yours is next.

  1. Bitcoin development artwork

    Bitvocation · 2025 — present

    Building infrastructure for Bitcoin talent

    Hands-on product engineering and strategic input for a platform connecting Bitcoin professionals with companies.

    • Product and architecture direction
    • Nuxt and CouchDB delivery
    • Bitcoin-native market context

    Replicating as cluster/bitvocation

  2. InduX and Indunor office interior

    InduX / Indunor · 2024 — present

    Re-architecting commerce for complex products

    A custom commerce foundation designed around the real constraints of configurable glass products.

    • Custom product workflows
    • Scalable commerce foundation
    • Faster customer experience

    Replicating as cluster/indux

  3. Industrial digital printing equipment

    Digital Information · 2011 — present

    Raising software quality in industrial imaging

    Architecture and interface work that improved precision, control and usability across industrial software.

    • Advanced web interfaces
    • Color-accuracy tooling
    • Long-term product evolution

    Replicating as cluster/digital-information

How we build anything, as configuration.

~/radustanciu/approach.iniwriting…
  • Start with the business outcome, not the model.
  • Make the architecture, and the AI, legible.
  • Let AI accelerate. Let engineers decide.
  • Leave control, data and models with their owner.

What should we build?

Describe the process you want automated, the agent you imagine or the product you can't find. We'll scope it, build it with AI-assisted engineering and hand you the keys.

Portrait of Radu Stanciu

node/rs · builderonline

Radu StanciuAI-assisted software engineering
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