惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

小众软件
小众软件
博客园_首页
博客园 - 聂微东
T
Tailwind CSS Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
J
Java Code Geeks
The Cloudflare Blog
aimingoo的专栏
aimingoo的专栏
Martin Fowler
Martin Fowler
D
Docker
人人都是产品经理
人人都是产品经理
WordPress大学
WordPress大学
博客园 - 三生石上(FineUI控件)
Microsoft Azure Blog
Microsoft Azure Blog
Recent Announcements
Recent Announcements
Apple Machine Learning Research
Apple Machine Learning Research
阮一峰的网络日志
阮一峰的网络日志
B
Blog RSS Feed
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Microsoft Security Blog
Microsoft Security Blog
L
LangChain Blog
Jina AI
Jina AI
博客园 - Franky
D
DataBreaches.Net

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
GuardDuo — The AI Guardian That Keeps Vibe-Coding in Check
Anindita Priyadarshini · 2026-06-25 · via DEV Community
Cover image for GuardDuo — The AI Guardian That Keeps Vibe-Coding in Check

Anindita Priyadarshini

AI coding tools are incredible. But I noticed something — they ship code fast, skip the rules, and nobody catches it until it's already in production. That's exactly what GuardDuo is built to fix.


The Problem

We're in the age of vibe-coding. You describe what you want, the AI builds it, it works — and you ship it. But "works" and "correct" are two very different things.

Imagine asking an AI to build a login form. It works perfectly. But under the hood it has hardcoded API keys, no input validation, missing aria-labels, and it's using fetch directly instead of your project's apiClient wrapper. Your Issue said none of that was allowed. Nobody caught it.

That's the vibe-coding trap — and it's happening on every team using AI-assisted development right now.


What is GuardDuo

GuardDuo is a GitLab Duo Agent skill that acts as your AI guardian. Instead of just reviewing code in isolation, it cross-references your code changes against the actual intent of the linked GitLab Issue — using the Orbit Knowledge Graph, which is essentially the brain that knows your project's rules, requirements, and success criteria.

In plain terms: GuardDuo reads what the Issue asked for, reads what the code actually does, and tells you exactly where they don't match.

It audits across three dimensions:

  • 🔐 Security — hardcoded secrets, SQL injection, missing input validation
  • ♿ Accessibility — missing alt text, aria-labels, poor color contrast
  • 📐 Standards — deviations from your project's established patterns and conventions

And when it finds a problem, it doesn't just flag it — it fixes it.


How It Works

Just open GitLab Duo Chat or GitLab Agent Platform(on your choice of IDE) -> choose the agent as GuardDuo and type:

  • Audit issue #[issue no.] — GuardDuo pulls the Issue context from Orbit, analyzes the code, and returns a structured report
  • Fix issue #[issue no.] — GuardDuo generates a corrected implementation that satisfies all requirements
  • Or paste any code snippet directly and ask it to audit or fix

The response looks like this:

📊 Summary Scorecard
Requirement-> Status -> Severity
Parameterized queries (no SQL injection)->❌ FAIL -> 🔴 Critical
Secrets from environment variables -> ❌ FAIL -> 🔴 Critical
Terms of Service checkbox check -> ❌ FAIL -> 🟠 High
Password actually validated -> ⚠️ Missing -> 🟠 High


How I Built It

GuardDuo is built as a SKILL.md file on the GitLab Duo Agent Platform — a new standard for giving AI agents specialized knowledge and workflows.

The skill definition lives in skills/audit/SKILL.md and defines a four-phase process — context retrieval via Orbit, code analysis, report generation, and remediation. The hardest part was structuring the Orbit query phase to reliably extract success criteria from linked Issues and Epics. The most exciting part was seeing it catch a real violation I had intentionally planted in a test snippet.

Building on the Agent Skills specification also means GuardDuo works with any AI tool that supports the standard — not just GitLab Duo.


Try It Yourself

GuardDuo is live on the GitLab AI Catalog. To use it:

  1. Go to Explore > AI Catalog and search for GuardDuo
  2. Enable it in your project
  3. Open GitLab Duo Chat and type Audit issue #[your issue number]

Feedback and trial usage are very welcome — this is an early release and your input will directly shape what gets built next.

👉 Fill out the Feedback Form[ Form will be updated soon] — takes 2 minutes and helps a lot.


What's Next

  • CI/CD pipeline integration to run audits automatically on every MR
  • Automatically create remediation branches and open Merge Requests linked to Issues
  • Full open source release in the future, with community contributions welcome

GuardDuo was built as part of the GitLab Transcend Hackathon. The project is on GitLab at
https://gitlab.com/gitlab-ai-hackathon/transcend/39467501/-/automate/agents/1012042/
All rights reserved — open sourcing planned for a future release.