FAQ
Questions people ask before they connect a repo
Short answers on setup, pricing, data handling and what to do when a finding needs human context.
Product
What does Andesyte Code Security do?
Andesyte Code Security reviews changed code for security issues and brings findings into your review workflow, with context and suggested fixes. It works with GitHub pull requests and GitLab merge requests. The product page shows the review surfaces; the documentation covers how they work.
Does this replace a human security review?
No. Automated findings help reviewers investigate security issues; they do not prove a system is secure. Your team still decides what to change and merge. For a focused review of a broader system, see our security review services.
Setup
How do I install it?
Open Connect and choose your source host and workspace, then complete the installation flow. Follow the quickstart for your first review, or the GitLab guide for project linking.
Do I have to write a config file?
Not to get started. Optional repository configuration and instruction-file suppressions let you tune review behaviour. See the configuration guide for the supported settings and how they are applied.
Pricing
How is Andesyte priced?
Public repositories have a free plan. Paid options support private repositories and measured usage. Current prices and plan details live on the pricing page; the billing guide explains how subscriptions and usage work.
Where can I check my usage and limits?
Your workspace's billing page shows usage, plan controls and applicable limits. See the billing guide for how measured usage and limits affect new work.
Can I change my plan?
Use your workspace's billing controls to manage subscriptions and available usage options. The billing guide describes supported transitions; the app shows which options are available to you.
Data and security
Where does my code go?
Review data is processed to deliver the product. Findings and operational metadata support audit history and product operations. Read our security practices and privacy policy for data handling, providers and retention, and the DPA.
Do model providers train on my code?
Andesyte does not train its own models on customer code. Upstream model-use controls and provider details are described in our security practices and privacy policy. Review those terms for your requirements before connecting a private repository.
Findings
How should I use a finding?
Treat it as a starting point for investigation. Read the code context and explanation, verify the impact in your system and review any suggested fix before applying it.
What if it gets a finding wrong?
Add context in the review thread. Eligible findings can be suppressed for future reviews, subject to permission and severity checks. The false positives and Learnings guide explains commands such as
@andesyteoss ignore and their limits.Can I ask Andesyte questions about a finding?
You can reply to an inline finding with
@andesyteoss and your question. The documentation covers available commands and review workflows.Working with us
Can your researchers review a system directly?
Yes. We run focused reviews across applications, cloud infrastructure, source control and release pipelines. See how our security reviews work.
How do I report a bug or vulnerability?
Bug or feature request: use the contact form. Security vulnerability: use vulnerability disclosure instead.