Enji GuardAll solutions
Everything Guard checks, in one place
One product, many entry points. Every page below connects the same core loop: recurring audits of your repo and the app it powers, returned as reviewable issues or pull requests.
Audits
Recurring audits of the repo and the app it powers.
Security audit
Check for common security problems and unsafe patterns.
AI readiness audit
Check whether the repository is easy for agents to understand and change.
Test quality audit
Measure coverage, flaky tests and recent testing activity.
CI/CD audit
Check whether automated delivery protects the default branch and releases, and identify the sequence of steps to make the pipeline reliable.
Codebase hygiene audit
Find repository clutter, dead code, hardcoded values, weak maintenance commands, and patterns that make future changes harder.
Configuration hygiene audit
Check whether project configuration is manageable, practical, clean, and understandable, and identify the next steps to reduce setup effort and improve maintainability.
Dependency hygiene audit
Check whether repository dependencies are accumulating risk or disorder that makes safe development harder, using scanner-backed evidence and key verification gaps.
Cognitive debt audit
Check whether the repository shows what the system is for, why key decisions were made, and how its behavior is verified, without guessing.
Dead code audit
Find disconnected code, configuration, flags, metadata, and dependency anchors that make current repository behavior harder to understand.
Open source readiness audit
Check whether the repository is ready to become or remain a credible open source project.
Product & proof
See how Guard reports results and supports the ongoing improvement loop.
Security
Find the vulnerabilities AI ships, in code and at runtime.
Runtime security
Check linked web apps with bounded runtime security checks.
SAST for AI code
Repo-aware static security audit for AI-generated code.
Continuous DAST
Dynamic testing of the running app, tied to your repo.
Copilot security risks
Catch security risks in code produced with GitHub Copilot.
Cursor security risks
Catch security risks in code produced with Cursor.
Vibe coding security
Is your vibe-coded app safe? The security checklist.
Dependencies
Keep the supply chain AI keeps adding to clean and vetted.
Quality & maintenance
Keep AI-built code healthy and shippable over time.
Automated code remediation
Turn audit findings into reviewable pull requests.
Autonomous software maintenance
Keep software healthier with less maintenance effort.
AI code quality
Keep AI-generated code at a quality you can ship.
Test quality
Tests that actually prove your AI code works.
Technical debt reduction
Reduce debt continuously without a big refactor.
Cognitive debt governance
Govern technical, cognitive, and intent debt.
Readiness & monitoring
Make the repo safe for agents and the live app honest.
Agent docs
Give coding agents the docs they need to be safe.
Context & rules hygiene
Keep AGENTS.md, CLAUDE.md, and Cursor rules honest.
Claude Code readiness
Prepare your repo for Claude Code to work safely.
Codex readiness
Prepare your repo for Codex to work safely.
AGENTS.md best practices
What AGENTS.md is and how to write one that lasts.
Vibe-code cleanup
Make a vibe-coded prototype production-ready.
Cleanup & monitoring
Clean up and monitor a vibe-coded app over time.
Synthetic website monitoring
Catch broken user journeys before customers do.
Compare
How Enji Guard relates to the tools you already know.
Guides & checklists
Practical references on auditing AI-written code.
AI code security checklist
What to verify before you ship AI-written code.
Cursor security checklist
Verify what a broad Cursor edit changed.
Claude Code security checklist
Verify what a Claude Code session wrote.
CLAUDE.md best practices
Write a CLAUDE.md that keeps Claude Code on track.
Cursor rules best practices
Write .cursorrules that stay true to the repo.
Hallucinated packages
Catch dependencies AI invented.
Slopsquatting
When attackers register the packages AI invents.
Green tests, false confidence
When AI tests pass but prove nothing.
Monthly repo audit
Set up a recurring monthly audit cadence.
Not sure where to start? Just run an audit.
Connect a repo and get an audit in a few minutes. Guard reports findings in GitHub-ready language. No card.