Debuggix.space VS Code Effects

• Security Engines
  9 engines: Semgrep, Bandit, Gitleaks, TruffleHog, Trivy, ESLint, Hadolint, Checkov, OSV-Scanner
• Scan Time
  60-180 seconds (9 engines running in parallel)
• AI Noise Filtering
  Reads README.md + SECURITY.md to classify findings as Needs Attention or Reviewed
• Known Vulnerable Repo Detection
  Auto-detects deliberately vulnerable apps (Juice Shop, DVWA, WebGoat, nodejs-goof)
• Severity Classification
  Critical, High, Medium, Low with color-coded left borders
• Confidence Scoring
  AI assigns 0-100% confidence to every finding
• Semantic Deduplication
  Merges duplicate findings across engines into single issues
• GitHub Integration
  OAuth login, private repo scanning, auto-create fix PRs
• Workspace
  View findings, generate AI fixes, open in github.dev or Codespaces
• Public Reports
  Shareable scan reports with no code exposed
• Security Badge
  Dynamic SVG badge with neon shield logo — updates on re-scan
• Hall of Fame
  Public verified repos page with documented findings
• 9 Engine Coverage
  Source code · Dependencies · Dockerfiles · Infrastructure as Code · Git history secrets
• Supported Languages
  Python, JavaScript, TypeScript, Go, Java, Ruby, PHP, Rust, C/C++, and more
• Prompt Injection Protection
  AI prompts sanitized — repo content cannot override classification
• Cache-Control Headers
  Badge images auto-refresh on re-scan with no-cache headers
• CORS Support
  Badge endpoints include Access-Control-Allow-Origin for cross-domain embedding
• Pricing
  Free: 10 public scans/month · Pro: 100 private scans ($29/mo) · Pro+: 500 scans ($50/mo)

• No-code rule builder
  Provides a visual, English-like rule editor that allows business users without programming skills to create and modify complex business rules and decision logic.
• .NET integration
  Designed specifically for .NET environments, allowing seamless embedding into C# and VB.NET applications, which is beneficial for teams already invested in the Microsoft technology stack.
• Rule compilation to native code
  Rules are compiled directly into .NET assemblies rather than interpreted at runtime, which can result in faster execution performance compared to some interpreted rule engines.
• Customizable UI components
  Offers embeddable rule editor controls that can be styled and integrated into existing applications, giving developers flexibility in how end-users interact with the rule authoring interface.
• Reduces developer dependency
  By enabling business analysts to author and update rules directly, it can reduce the need for constant developer involvement when business logic changes, potentially speeding up time-to-market for rule changes.

Possible disadvantages

• Limited platform scope
  Being tightly coupled to the .NET ecosystem limits its usefulness for organizations using other technology stacks like Java, Python, or Node.js, reducing its overall market flexibility.
• Learning curve for setup
  While the rule editor is designed for business users, the initial setup, integration, and configuration within a .NET application often requires significant developer expertise and time investment.
• Niche market presence
  Compared to larger, more established business rules engines and decision automation platforms, Code Effects has a smaller user base and community, which can mean less third-party support, tutorials, and shared resources.
• Pricing transparency
  Detailed pricing information is not always readily available publicly, which can make it harder for prospective customers to quickly assess cost-effectiveness compared to competitors.
• Scalability for complex enterprise needs
  For very large-scale, multi-platform, or highly complex enterprise decisioning needs, it may lack some of the advanced features, integrations, and scalability options found in more comprehensive decision management suites.

Testing the scanner on OWASP

More videos

No Code Effects videos yet. You could help us improve this page by suggesting one.

• Show HN: Debuggix – context-aware security engine to stop false positive fatigue

  3. If an anomaly is explicitly documented and structurally isolated as an intentional design choice, Debuggix filters out the noise so you can focus on genuine threats. Right now, we use this engine to maintain a "Verified Clean" tracker... - Source: Hacker News / 5 months ago

Tracking Code Effects since Jan 2023.