What Is ScanDrix And How Does It Work?

ScanDrix is an autonomous AI-powered code review and AST security scanning platform built for modern engineering teams. It integrates into your Git providers (GitHub, GitLab, Bitbucket, Azure Repos) to automatically review pull requests, detect vulnerabilities, suggest code fixes, and enforce custom Drixy rules.

How Does ScanDrix Differ From Traditional Linters Like SonarQube?

Traditional linters analyze files in isolation using rigid regex or pattern rules, resulting in high false-positive rates and zero understanding of code intent. ScanDrix performs deep Abstract Syntax Tree (AST) analysis combined with multi-model AI reasoning, understanding whole-codebase context, taint flows, and architectural boundaries.

What Are Drixy Rules And How Do I Configure Them?

Drixy rules are customizable code review and security policies. You can define rules globally across your organization, per repository, or choose from a library of community best practices. You can also run 'Dry Run' previews to test rule modifications against real historical PRs before enforcing them.

Which Git Providers And CI/CD Tools Does ScanDrix Support?

ScanDrix supports GitHub, GitLab, Bitbucket, Azure Repos, and Forgejo out of the box. It also provides a CLI and team API keys for local developer workflows, pre-commit hooks, and custom CI/CD runners.

Does ScanDrix Train On Our Private Source Code?

No. ScanDrix never uses customer source code to train AI models. All code diffs are processed in ephemeral, isolated environments with strict zero-data-retention guarantees. For enterprise deployments, ScanDrix supports Bring Your Own Key (BYOK) and self-hosted on-premise installations.

How Fast Are ScanDrix Code Reviews On New Pull Requests?

ScanDrix is built for sub-minute reviews: an async worker architecture picks up webhook events without blocking CI pipelines. That is a design goal, not a measured guarantee — live service state is on the status page.

Can ScanDrix Suggest Inline Code Fixes?

Yes. When ScanDrix detects bugs, security vulnerabilities, or rule violations, it generates precise inline diff suggestions directly in the pull request review comments that developers can apply with a single click.

Can We Deploy ScanDrix On-Premise Or In Our Own VPC?

Yes. Enterprise customers can deploy ScanDrix in their own AWS, GCP, or Azure VPC, or in fully air-gapped on-premise environments with support for internal LLM endpoints (vLLM, Ollama) and enterprise SSO.

Engineering notes from the team building the engine

The blog.

No launch announcements. Just how the analysis actually works, what breaks in practice, and the trade-offs we made.

Articles: 4 published
Focus: AST & security
Cadence: Monthly
Authors: Engineering team

Engineering

March 4, 2026

9 min

Cross-File Taint Tracking in a Monorepo

Monorepos break naive analysis in a specific way: the interesting path spans packages that do not import each other. A practical approach to keeping taint analysis fast and accurate.

ScanDrix Engineering · AST Engine Team

Security

March 18, 2026

7 min

Why Linters Miss Cross-File Vulnerabilities

Pattern matching is excellent inside a single file and structurally blind across files. Here is the concrete shape of the problem, and what actually fixes it.

ScanDrix Engineering · AST Engine Team

Product

February 3, 2026

8 min

BYOK LLM Routing for Security Reviews

Bringing your own model key is a privacy decision with real architectural consequences. What changes in the review pipeline, and what does not.

ScanDrix Engineering · Platform

Guides

February 19, 2026

6 min

Dry-Run Your Rules Before You Enforce Them

Shipping a new lint rule to an entire organisation on day one is how you get a rule disabled by Friday. Here is the rehearsal-first workflow we recommend.

ScanDrix Engineering · Developer Experience