AI system operations

Coding is becoming autonomous. Who runs it in production?

Copilot, Cursor, and Claude Code have made writing code faster than ever. But deploying it, watching it, and fixing it at 3am is still a job most companies hand to a person.

Most people searching "AI production operations" have already adopted AI coding agents and sped up development — only to find the operations phase left behind. Coding is becoming autonomous; production engineering is not. GIIP FDE Ops exists to close that gap.

Talk about AI production operations

If this sounds familiar

No one owns running AI-written code in production

Development got faster, but who owns deployment, monitoring, and incident response stays undefined.

More AI coding tools, same old ops setup

More people write code with agents, but the people and systems covering 24/7 monitoring and first response have not changed.

A speed gap opens between development and operations

The dev team accelerates with AI while ops stays manual — and that speed gap becomes the release bottleneck.

Why this gap exists

Coding agents were not built for production operations

Generating code and running production reliably around the clock require entirely different architectures and different scopes of responsibility.

Most "automation" stops at detect-and-notify

More tools flag anomalies, but few actually carry out first response, a fix, and a deploy.

Hiring dedicated DevOps/SRE talent is hard

Experienced DevOps/SRE engineers are scarce, and hiring cannot keep pace with how fast AI speeds up development.

Where GIIP FDE Ops fills the gap

GIIP FDE Ops splits the work: AI coding agents write the code, GIIP FDE Ops runs it in production — carrying the autonomy of development through into operations.

Continuous monitoring through first response, automated

AI agents continuously watch availability, resources, and logs, and automatically run routine first response like restarts and scaling.

High-risk calls stay with a human FDE

Irreversible actions — deleting data, changing a production schema — always require sign-off from a human Forward Deployed Engineer first.

Code from any coding agent carries over as-is

Whatever tool wrote the code — ChatGPT, Claude, Copilot — GIIP FDE Ops takes over everything from deployment onward.

Solution detail: AI Production Operations What GIIP FDE Ops covers GIIP Investors — why AI in production matters now

When GIIP FDE Ops is worth considering

AI coding tools sped up development, but operations has not kept up
No one owns production monitoring and incident response, or it rests on one person
You are wary of handing AI execution rights and want a control structure first
You have no 24/7 first-response or escalation design
The speed gap between development and operations has become your release bottleneck

FDE Box, including dedicated hardware and full operations, is a flat ¥500,000/month (excl. tax).

See pricing and what is included

Frequently asked questions

Can we hand off just the production side of code we wrote with an AI coding agent?

Yes. Keep development in-house or on your coding agent, and hand only deployment-onward operations (monitoring, incident response, deploys) to GIIP FDE Ops.

Is it safe to let AI touch production?

Automated execution is limited to safe, routine actions like restarts and scaling. Irreversible actions like deletion or schema changes always go through human FDE approval first.

Can this connect to our existing monitoring and CI/CD?

Yes. We integrate with what you already have and fill in the missing piece — first response and escalation design with real execution rights.

How is this different from the AI-agent IT operations page?

That page explains the mechanism itself — AI moving from answering to executing. This page explains the same mechanism from the angle companies hit right after adopting AI coding agents: the operations gap that opens next.

Start with a look at how you use AI today

Coding got faster. Operations is next. Tell us where you stand.