Build at agent speed. Safeguard production.
FPT Cloud is a provider of AI and cloud computing services in Vietnam, running multi-region across Vietnam and Japan. It put CloudThinker AI Code Review on live merge requests to find out whether an AI reviewer could hold the first quality gate on a cloud platform.
Precision
~97%
Precision observed in the evaluation. Engineers acted on what the reviewer reported rather than triaging it. In this evaluation false positives were rare, so no new review queue appeared.
Backend logic coverage
Full
Backend logic coverage in the evaluated set. Defects observable in the code itself were detected, security findings among them, before human review or QC testing.
About the customer
About FPT Smart Cloud
FPT Smart Cloud (FCI) is a member of FPT Corporation and a provider of Artificial Intelligence and Cloud Computing services in Vietnam, established in 2020 with the mission of building a world-class AI platform and cloud services ecosystem for enterprise operations. Its OpenStack-based FPT Cloud platform runs multi-region deployments across Vietnam and Japan, and in 2024 the company launched two AI Factories built on NVIDIA H100/H200 GPUs.
- Parent
- FPT Corporation
- Established
- 2020
- Regions
- Vietnam and Japan
- AI Factories
- Two, NVIDIA H100/H200
The ambition
Building the world-class Enterprise Agentic Platform together, to safeguard production in the AI era
Code review is the first gate. The same governed model extends across the production estate: agents that investigate, decide and act under human control, on the platform thousands of enterprises run their workloads on.
What it changes
Four shifts in how software is built and defended
AI-assisted development raises throughput. A gate on every merge request means the business can take that speed without absorbing unmeasured risk.
On a shared platform, one cross-tenant defect is a compliance event, not a bug. Catching that class at the merge request keeps it out of the release entirely.
Standards that lived in senior engineers' heads become a curated rule set applied to every change. Review quality stops depending on who is available.
Findings are verified and the process is measurable, so quality can be reported to customers, auditors and the board as evidence rather than intent.
The operating model
Every layer does what it is best at, and nothing twice
AI Code Review
68.6%
QC
25.5%
AI review is the first gate, at the least expensive point in the pipeline. Human review and QC keep what only appears when the software runs.
Adoption
Value from day one, pipeline optimised in the first month
Day one
Running on live merge requests
No pipeline rebuild and no waiting for a training phase. The reviewer sat in the existing workflow and returned findings on real changes from the first day.
First month
Tuned to how the team works
Requirements, issue context and the team's own engineering standards were loaded into the review. Accuracy climbed as context arrived, and the pipeline settled into its production shape.
Next chapter together
From governing what gets built to operating what runs
Co-build the core technology of Agentic to help thousands of FPT Smart Cloud customers operate the production environment.
Specialist agents get the context and skills to investigate, decide and act across the cloud, Kubernetes and data platforms you operate, with approvals, guardrails and a complete audit trail on every operation.
Every team, one entry point
SREs, platform, application, support, IT ops.
One shared memory
What one agent resolves, the rest can use next time.
Faster incident response
Saving the operation effort
Agents own production, under your policy.
Focus on what matters most
Talk to the team
Put the same quality gate on your merge requests, then extend the governed model into the environments you run.