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.

Code Review That Ships Secure Code.

Autonomous AI code review and AST security scanning for every pull request. Catch vulnerabilities, enforce deterministic Drixy rules, and integrate seamlessly with GitHub, GitLab, Bitbucket, and Azure Repos.

Start Free Trial Book Enterprise Demo

Node 18+ • GitHub App or CLI • Setup complete in ~60s

Autonomous Review

AI-powered code review on every pull request, catching bugs before human review

AST Engine•2026

(Autonomous AI Code Review & AST Security Scanning)

Manual review doesn't scale. PR queues pile up, senior engineers get burned out, and critical vulnerabilities slip into production. ScanDrix performs autonomous AI code review and deep AST security scanning on every pull request.

Verified AST Architecture

Tree-Sitter Engine & Cross-File Taint Tracking

01/04

Engine eval domains tested on every pull request diff

4 pillars

Composite quality score: recall, precision, format, anchor location

±2 lines

Deterministic ground-truth tolerance for inline comments

Git platforms supported: GitHub, GitLab, Bitbucket, Azure Repos, Forgejo

Works with your stack

GITHUB

GitHub App

GITLAB

GitLab CI

BITBUCKET

Bitbucket

AZURE

Azure Repos

FORGEJO

Forgejo

OWASP

OWASP Top 10

DOCKER

VPC Deploy

BYOK

Bring Your LLM

(Four Layers • One Review)

Every layer between

the diff & the merge

A pull request is parsed, traced, checked against your rules, and patched — in that order, on every push with zero code retention.

/04

Autonomous Review

Scans pull requests with multi-model AI reasoning and contextual diff comprehension to eliminate review bottlenecks.

Sub-minuteturnaround, posted directly to pull requests

/04

AST Security Scan

Deep abstract syntax tree analysis targets OWASP Top 10, injection flaws, and taint-path vulnerabilities at the code level.

100%deterministic AST validation before suggestions hit PRs

/04

Drixy Rule Engine

Define custom Drixy rules per org, per repo, or from the catalog. Enforce architecture standards automatically on every commit.

0human bottlenecks enforcing coding guidelines deterministically

/04

Universal Integration

Drop-in integration with GitHub, GitLab, Bitbucket, Azure Repos, and Forgejo. Runs locally via CLI or in any CI/CD pipeline.

~60ssetup complete with zero pipeline refactoring required

04Explore all capabilities ↗

Autonomous Code Reviews For Every Pull RequestDeterministic AST ParsingZero Code RetentionSub-Minute Turnaround

(Verified engineering feedback)

01/03

“ScanDrix catches subtle security flaws and taint paths across microservices before our senior engineers even open the pull request.”

Alexandre Dubois

Principal Security Architect, FinTech Platform

“Reviews built for sub-minute turnaround, posted directly to pull requests with actionable, ready-to-commit code suggestions.”

Sarah Chen

VP Engineering, CloudScale

“Custom Drixy rules enforce our org-wide coding guidelines deterministically. Zero stylistic debates in code reviews.”

Marcus Vogel

Lead Infrastructure Engineer, DevSecOps

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Evaluation Design

Step

Large diffs break shallow reviewers

Once a PR grows past a few hundred lines, chunk-based tools lose cross-file context and miss taint flows that span handlers, services, and DB layers. ScanDrix compiles the full AST before reasoning.

Explore AST compilation ↗

Step

Static rules plateau early

Pattern linters struggle because they cannot reason about architecture or cross-file data flow. ScanDrix combines tree-sitter AST queries with multi-model contextual reasoning over call graphs.

See Drixy rule engine ↗

Step

Deterministic evaluation gate

11 engine eval domains enforce contracts, schemas, and behavioral checks. A fatal failure blocks — it never warns and continues, guaranteeing sub-minute reviews with ±2 lines ground-truth tolerance.

Read benchmark methodology ↗

(Plans & Pricing)

Start For Free, Upgrade Later.

Simple plans for every engineering team. No hidden fees. Review pull requests with enterprise-grade security.

Community Free Plan

For individual developers & open-source projects

Free

forever free, no credit card

Standard AST security scanning
Community Drixy rules
50 pull request reviews / month
GitHub & GitLab integrations

Developer Plan

For solo maintainers who want custom rules and BYOK routing

₹799/mo

per month, billed monthly

Everything on Free plan

Custom Drixy rules & Dry Run testing
500 pull request reviews / month
BYOK custom LLM routing
CLI local review mode

Pro Team Plan

For fast-moving teams shipping to production

₹1,499/mo

per month, billed monthly

Everything on Developer plan

Unlimited repositories
Custom Drixy rules with Dry Run testing
Cross-file taint path tracking
Priority review queue SLA
Jira, Linear & Slack notifications
Full AST diff inspection & auto-fixes

Enterprise Custom Plan

Deploy ScanDrix in your own VPC or on-premise

Custom

tailored for your team

Everything on Team plan

Self-hosted VPC or air-gapped deployment
Dedicated solutions architect
Zero data retention legal guarantee
Custom LLM fine-tuning & routing
Custom security audits & SLA 99.99%

Compare all plans

FAQs

Here's what engineering teams ask before adopting ScanDrix.

How does ScanDrix integrate with our repository workflow?

ScanDrix installs via a one-click GitHub App or as a lightweight CLI / pre-commit tool. Every finding is posted directly on the pull request itself — highlighting the exact file, offending line range, the rule that fired, and a ready-to-commit inline patch. No CI/CD pipeline refactoring is required.

Do you store or train AI models on our proprietary code?

Can our organization Bring Our Own LLM (BYOK)?

How are custom Drixy rules defined and tested?

Can ScanDrix run inside our private VPC or on-premise?

How fast are pull request reviews and does ScanDrix block CI pipelines?

Review everypull request withautonomous AST→secure code

SOC 2 ALIGNEDZERO CODE RETENTIONBYO LLM ROUTING

“By combining tree-sitter AST queries with deep semantic reasoning, ScanDrix reduces false positives and targets structural vulnerabilities with compiler-backed validation.”

— Core Architecture Specification, ScanDrix

Start free trial

(Product in motion)Every pull request, verified before merge.

Code Review That Ships Secure Code.

Manual review doesn't scale. PR queues pile up, senior engineers get burned out, and critical vulnerabilities slip into production. ScanDrix performs autonomous AI code review and deep AST security scanning on every pull request.

Every layer between

the diff & the merge

Core Capabilities

Autonomous Review

AST Security Scan

Drixy Rule Engine

Universal Integration

Four layers, one review between diff and merge

Abstract Syntax Tree Parsing

Contextual Taint Analysis

Deterministic Drixy Rules

Inline Git Patch Suggestions

Zero Code Retention Sandboxes

Evaluation Design

Large diffs break shallow reviewers

Static rules plateau early

Deterministic evaluation gate

Start For Free, Upgrade Later.

Community Free Plan

Developer Plan

Pro Team Plan

Enterprise Custom Plan

Here's what engineering teams ask before adopting ScanDrix.

How does ScanDrix integrate with our repository workflow?

Do you store or train AI models on our proprietary code?

Can our organization Bring Our Own LLM (BYOK)?

How are custom Drixy rules defined and tested?

Can ScanDrix run inside our private VPC or on-premise?

How fast are pull request reviews and does ScanDrix block CI pipelines?

Review everypull request withautonomous AST→secure code