FAQ
Questions we get most often.
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What it is
What does Sebastion AI actually do?
Sebastion AI is a GitHub App that audits every pull request for security regressions before they ship. It posts inline review comments tagged with CWE ids, cross-checks against the OSV.dev CVE database via OSV-Scanner, runs a regex-based secret detector, and uses deterministic post-processing to drop low-signal noise.
How is this different from CodeRabbit, Snyk or Socket?
We are AI-first and security-only. CodeRabbit reviews code for style and bugs, Snyk scans dependencies for known CVEs, and Socket protects your supply chain. Sebastion focuses on security regressions in your own code that today's static tools miss. Side-by-sides live at /vs/coderabbit, /vs/snyk, and /vs/socket.
What models do you use?
We pick frontier models that get security right and route around them when something better lands. Free runs on a fast frontier model. Pro and Team use a higher-reasoning frontier model. The exact mix can change with provider availability and pricing.
Setup and access
How do I install it?
Visit github.com/apps/sebastionai and pick the repository or org you want covered. Free covers public repos with no credit card. The first audit shows up on your next pull request.
Do I need a separate account?
No. Your GitHub account is your account. Sign in to the dashboard at app.foundationmachines.ai with the same GitHub identity that installed the app.
Pricing
What does it cost?
Free for public repos. Pro is $19/month flat for 1 developer and adds private repos plus autofix PR drafts. Team has no recurring fee — buy credit packs from $25 and add unlimited users and repos. Full breakdown on /pricing.
What is a credit?
A credit is the customer-facing unit for AI review work. One credit is worth $0.02 at the base rate. Team buys credits in packs: $25 / $100 / $500. Bigger packs include bonus credits — the $500 pack is 20% cheaper per credit than the $25 pack. $1.20 covers a typical 60-credit PR review.
What happens at my spend cap?
Team customers set a spend cap on their tenant. When usage reaches the cap, Sebastion stops starting new paid review work until you raise the cap or enable a one-click 24-hour override in the portal.
How does pricing compare with per-seat tools?
CodeRabbit Pro is $24/seat, Greptile is $30/seat plus $1/PR over 50, and Qodo is $30/seat with a 20 PR quota. Foundation Machines Team has no recurring fee — buy credit packs (from 1,250 credits for $25) and add unlimited users and repos. Quiet months cost nothing.
Are there limits on the free tier?
Yes. Free covers 50 PR audits per repo per month and 500 per account per month, across every repo combined. Pro removes both caps. Daily safety caps protect everyone against runaway CI loops — see rate limits for the full list.
Is there a free trial?
Yes. New paid installs get 100 trial credits for 14 days so you can measure real PR costs before committing.
Data and security
Do model providers train on my code?
No. We use provider controls intended to prevent training on customer prompts and responses, and we do not train our own models on your code.
Quality of findings
Will Sebastion fill my PRs with noise?
No. We tune aggressively for high signal. Best-practice and stylistic rules are demoted to info severity by default; only real security regressions surface as inline review comments.
What if it gets a finding wrong?
Reply directly on the inline finding comment with
@sebastionai ignore and Sebastion writes a Learning that suppresses that rule on that file for your installation. Full details at docs.foundationmachines.ai/docs/false-positives-and-learnings.Can I ask Sebastion questions about a finding?
Yes — Pro and Team. Reply on any inline finding with @sebastionai and your question; the answer lands in the same PR thread.
Do I have to write a config file?
No. Sebastion auto-reads
AGENTS.md, CLAUDE.md, .cursorrules, and .github/copilot-instructions.md from your default branch, so suppression markers you already keep for coding-agent context apply to Sebastion too.Working with us
How do I report a bug or vulnerability?
Bug or feature request: open an issue or use the contact form. Security vulnerability: please use /vulnerability-disclosure instead.