How does BackendMax identify issues that other tools miss?

It specializes in cross-boundary analysis, detecting mismatches between frontend API calls and backend expectations, and uncovering architectural issues that traditional linters, type checkers, and tests cannot.

BackendMax is an AI-powered static analysis tool that deeply diagnoses frontend and backend codebases for bugs, contract drift, security, and performance issues before deployment.

What specific problems does BackendMax help prevent?

It prevents issues like API contract drift, missing validation, security gaps (e.g., unprotected routes), performance bottlenecks (N+1 queries), and outdated API documentation, ensuring a robust codebase.

How can BackendMax be integrated into my development workflow?

It offers a CLI for CI/CD pipeline integration, supports SARIF for GitHub Code Scanning, provides markdown reports for PRs, and includes an auto-fix engine for common issues. It also integrates with Claude Code.

BackendMax

Name: BackendMax
Author: rish-e

byrish-e

•

開発者ツール

セキュリティとテスト

API開発

Statically analyzes frontend and backend codebases to diagnose bugs, contract drift, security gaps, and performance issues before deployment.

BackendMax is an AI-powered Model Context Protocol (MCP) server that provides deep diagnostic insights into your backend. Unlike traditional linters or unit tests, it excels at identifying cross-boundary issues such as API contract mismatches, missing validation, security vulnerabilities, and performance anti-patterns that often slip into production. It acts as a vigilant senior backend engineer, analyzing both frontend API calls and backend route handlers, generating living API documentation, and offering actionable fix suggestions to ensure your application works as intended from concept to deployment.

主な機能

01CI/CD Integration: Provides a CLI for seamless integration into CI/CD pipelines with various output formats like SARIF for GitHub Code Scanning.

021 GitHub stars

03Cross-Boundary Contract Verification: Automatically detects mismatches between frontend API calls and backend route expectations.

04AI-Powered Intent-Aware Diagnosis: Understands project structure and intent to flag contextually relevant issues, not just syntax errors.

05Pre-Deploy Safety Net: Employs six specialized audit engines to catch common production bugs in error handling, validation, security, and performance.

06Living API Documentation: Auto-generates up-to-date API documentation directly from your codebase without manual annotations.

ユースケース

01Preventing cross-boundary contract drift between frontend and backend during development.

02Automating comprehensive pre-deployment diagnostics to catch bugs before they reach production.

03Generating accurate and always-current API documentation without manual effort.