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CHEAPUNO guide

How to check if local or hosted AI code review tools fit security and budget needs?

Assess your infrastructure and security posture to determine whether local or hosted AI code review tools are the right fit.

What you are probably seeing

You notice your team spending more time moving code between CI/CD pipelines and browser-based code review platforms, leading to friction and delays.

You see your IT department flagging security risks due to data leaving the local network when using hosted code review tools, causing concerns about compliance.

Why it happens

Hosted tools are convenient but often process sensitive data on third-party servers, creating potential security and compliance issues, especially in regulated industries.

Local hosting reduces infrastructure overhead and keeps data secure, but it can be resource-intensive and require significant setup and maintenance time, impacting your overall budget.

What changed recently

Step by step

1. Catalog your team’s current workflow to identify where the friction of hosted code reviews is most severe.

2. Assess your team’s local infrastructure to see if your hardware and bandwidth can support a local code review setup.

3. Evaluate your security and compliance requirements to determine if third-party data processing is acceptable or strictly prohibited.

4. Estimate the total cost of ownership for both local and hosted setups, including hardware, maintenance, and any licensing fees.

5. Run a small pilot project with a subset of your team to test the feasibility and performance of a local AI code review tool.

Ways to go further

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