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Architecture Reference Blueprint

Automated Code Review & Security Scanner AI Agent

Accelerate engineering pull request velocity while catching SQL injection, hardcoded secrets, and architectural anti-patterns automatically.

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System Constraints

Non-Negotiable Architecture Constraints

✓Review pull requests and post inline GitHub comments within 60 seconds of PR open
✓Zero false-positive noise on established code conventions
✓Deterministic SAST rule evaluation combined with semantic LLM architectural critique
✓Zero storage or retention of private source code on third-party model servers

Component Topology

System Components & Technologies

Modular subsystems designed with decoupled responsibilities, clear contracts, and scalable storage layers.

3D Isometric Architecture

Automated Code Review & Security Scanner AI Agent Stack Topology

Live Telemetry Active
Tier 1: GitHubTier 2: StaticTier 3: SemanticTier 4: GitHub
01

GitHub Webhook Receiver

< 15ms
Role: Ingesting pull_request events, checking changed files and git diffsFastAPI + Octokit
02

Static Analysis (SAST) Scanner

< 35ms
Role: Fast deterministic vulnerability and secret scanningSemgrep + Trufflehog
03

Semantic Code Reviewer

< 5ms
Role: Analyzing architectural patterns, race conditions, and test coverageAnthropic Claude 3.5 Sonnet / DeepSeek-Coder
04

GitHub PR Comment Bot

< 1ms
Role: Posting actionable markdown review comments with suggested diff replacementsGitHub Actions App
Subsystem 01

GitHub Webhook Receiver

Ingesting pull_request events, checking changed files and git diffs

Production Stack:

FastAPI + Octokit

Subsystem 02

Static Analysis (SAST) Scanner

Fast deterministic vulnerability and secret scanning

Production Stack:

Semgrep + Trufflehog

Subsystem 03

Semantic Code Reviewer

Analyzing architectural patterns, race conditions, and test coverage

Production Stack:

Anthropic Claude 3.5 Sonnet / DeepSeek-Coder

Subsystem 04

GitHub PR Comment Bot

Posting actionable markdown review comments with suggested diff replacements

Production Stack:

GitHub Actions App

Data Lifecycle

End-to-End Data Flow Sequence

1

Developer opens a pull request on GitHub; webhook sends payload to FastAPI review dispatcher.

2

Scanner clones commit diff, running Semgrep for known vulnerabilities and Trufflehog for leaked secrets.

3

If clean, changed files and contextually related files are packaged into an AST-aware review prompt.

4

Claude 3.5 Sonnet evaluates code against team-specific architectural guidelines (ADRs) and style guides.

5

Bot posts inline GitHub review comments with clickable 'Apply suggestion' code blocks.

Reliability & Resilience

Failure modes & automated mitigations

Failure Mode 01

Spamming Developers with Pedantic Review Comments

Mitigation Architecture

Enforce strict confidence thresholds (> 90%) and restrict comments to security, bugs, and performance issues.

Failure Mode 02

Oversized Pull Request Token Saturation

Mitigation Architecture

Filter out generated files (lockfiles, minified bundles) and review large PRs in modular chunked passes.

Failure Mode 03

Leaking Code to Public Foundation Models

Mitigation Architecture

Use dedicated zero-data-retention enterprise API endpoints or self-hosted models in private VPCs.

Architecture FAQs

Frequently asked blueprint questions

Yes! The bot formats suggestions using GitHub's markdown suggestion syntax, allowing developers to commit fixes with one click.

We index your repository's Architecture Decision Records (ADRs) and coding standards into a vector index, supplying them as context in the review prompt.

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