DEV Community: Lucky

First episode of verified or not is outttttt

Lucky — Sun, 17 May 2026 14:24:50 +0000

First episode of Verified or Not is outttttt 🎬

We're building something that catches vulnerabilities before attackers do. But first — we have to prove it actually works.

So for the next 6 episodes, we're not scanning random code. We're going straight at repos the security community already knows are vulnerable. Deliberately broken apps. Codebases with documented exploits. If Debuggix can't catch what we already know is there, it can't protect anyone.

Episode 1 starts with OWASP Juice Shop — 38,000 stars, 100+ documented vulnerabilities. The test? A real scanner should read the docs, understand this app was built to be hacked, and not cry wolf with 500 false alarms.

What do you look for in a security tool

Lucky — Wed, 13 May 2026 05:03:57 +0000

Snyk vs Debuggix — Complete Feature Comparison

May 2026

Overview

	Snyk	Debuggix
Founded	2015	2026
Target audience	Enterprise security teams	Indie devs, small teams, vibe coders
Pricing model	Per-developer licensing	Flat-rate subscription
Free tier	Limited (1 dev, 200 tests/month)	10 scans/month, all 9 engines
Credit card required	Yes for free tier	No

Scanning Coverage

Capability	Snyk	Debuggix
SAST (Static Analysis)	✅ Snyk Code	✅ Semgrep + Bandit
SCA (Dependency Scanning)	✅ Snyk Open Source	✅ Trivy + OSV-Scanner
Secrets Detection	✅ Snyk Code (IDE only)	✅ Gitleaks + TruffleHog (code + git history)
Container Scanning	✅ Snyk Container	✅ Trivy + Hadolint
IaC Scanning	✅ Snyk IaC	✅ Checkov
JavaScript/TypeScript	✅	✅ ESLint Security
Python-specific	✅ (via Snyk Code)	✅ Bandit (dedicated engine)
Git history secrets	❌	✅ TruffleHog
Dockerfile best practices	❌	✅ Hadolint
Dependency license compliance	✅	❌
DAST (Dynamic Analysis)	✅ (add-on)	❌
Cloud security (CSPM)	❌	❌

Developer Experience

Feature	Snyk	Debuggix
Scan speed	Minutes (CI-dependent)	60 seconds(depending on file size)
Setup time	Requires configuration	Paste a GitHub URL
Noise reduction	Basic filtering	AI confidence scoring + README context awareness
False positive handling	Manual triage	Auto-detects test files, examples, benchmarks, Dockerfiles
Multi-engine consensus	Single engine	9 engines — findings verified across tools
Dashboard	Multiple UIs for different products	Single unified dashboard
CLI available	✅	❌ (web-only)

AI & Automation

Feature	Snyk	Debuggix
AI-generated fixes	✅ Snyk DeepCode AI	✅ AI Fix (GPT-4 + Claude)
Automated PR creation	✅ (Snyk SCM)	✅ (with auto-fork for public repos)
AI confidence scoring	❌	✅ Every finding scored 0-100%
AI explanation of findings	❌	✅ Plain-English explanations
AI noise filtering	❌	✅ Deduplication across 9 engines
AI reads README for context	❌	✅ Skips documented intentional patterns

Integrations

Integration	Snyk	Debuggix
GitHub	✅	✅
GitHub Actions (CI/CD)	✅	❌ (coming Q3 2026)
GitLab	✅	❌ (coming Q3 2026)
Bitbucket	✅	❌
Azure DevOps	✅	❌
Slack	✅	✅
Jira	✅	❌
Webhooks	✅	✅
VS Code	✅	✅ (browser-based editor)
IDE plugins	✅ (multiple)	❌

Team & Enterprise

Feature	Snyk	Debuggix
Team collaboration	✅	✅ (Pro+ with 10 seats)
Role-based access	✅	✅ (Owner, Admin, Member, Viewer)
Custom security rules	✅	✅ (Pro+)
Audit logs	✅	✅ (90 days)
SSO/SAML	✅ (Enterprise)	❌
On-premise deployment	✅ (Enterprise)	❌ (coming Q1 2027)
Compliance reporting	✅ (SOC2, ISO)	✅ (SOC2 in progress)
SLA guarantee	✅ (Enterprise)	❌

Pricing

Tier	Snyk	Debuggix
Free	1 dev, 200 tests/month	10 scans/month, all 9 engines, no credit card
Team/Pro	$98/dev/month (billed annually)	$29/month, 100 private scans
Enterprise/Pro+	Custom pricing	$50/month, 500 private scans, API access
Hidden costs	Add-ons for containers, IaC, IDE plugins	None — all 9 engines included at every tier

Security & Compliance

Feature	Snyk	Debuggix
Data retention	Configurable	Zero retention — code deleted after scan
Encryption	AES-256 at rest, TLS 1.3	AES-256 at rest, TLS 1.3
SOC2	✅ Type II	🟡 Type I in progress
GDPR	✅	✅
OWASP Top 10 coverage	✅	✅
CWE Top 25 coverage	✅	✅

Unique Advantages

Snyk Strengths	Debuggix Strengths
10+ years of vulnerability data	9 engines in one 60-second scan
Deep IDE integrations	AI confidence scoring on every finding
Enterprise compliance ecosystem	Zero-touch — no config, no setup
License compliance management	Reads README to skip documented patterns
DAST and cloud security add-ons	Auto-forks public repos for PR creation
Recognized brand in AppSec	Built for solo devs and vibe coders

Bottom Line

Choose Snyk if...	Choose Debuggix if...
You're a large enterprise with a dedicated security team	You're a solo dev or small team that ships fast
You need DAST, license compliance, and cloud security	You want 9 engines in one scan with zero configuration
You have budget for per-developer licensing	You want predictable flat-rate pricing
You need SSO, on-prem, and SLA guarantees	You want AI to filter noise and explain findings

Snyk is the enterprise standard. Debuggix is the indie alternative that runs 9 engines in 60 seconds with AI-powered noise reduction — no credit card required.

Snyk vs Debuggix: Why "Identifying" Vulnerabilities Isn't Enough Anymore

Lucky — Tue, 12 May 2026 09:50:04 +0000

In DevSecOps, Snyk has been the default. It's great at scanning
dependencies. But it's a smoke detector — it tells you the house
is on fire, but doesn't hand you the extinguisher.

That's why I built Debuggix.

Here's how they compare in the trenches:

Detection vs Correction
Snyk flags vulnerabilities. You manually fix them.
Debuggix finds bugs AND generates the fix. AI writes the patch.
You review and merge.
Multi-Engine in One Scan
Most teams stitch together Snyk + Semgrep + Gitleaks + Trivy.
Debuggix runs all 9 engines in parallel — one dashboard, one scan,
60 seconds. No stitching required.
Built for Fast-Movers
Snyk can feel heavy for startups and indie devs.
Debuggix is for teams that need to ship now. From Python APIs to
Kubernetes manifests — go from vulnerable to patched in one workflow.

The bottom line:
Snyk is solid for enterprise security teams managing alerts.
Debuggix is for teams that want the fix, not just the flag.

Try it free: Debuggix

I scanned Kubernetes with a security tool.

Lucky — Tue, 05 May 2026 10:29:44 +0000

I scanned Kubernetes with a security tool. 327 findings. 60 seconds.

Here's the honest breakdown:

✅ Real issues:
• 2 dependency CVEs (mapstructure, glog)
• TLS configs missing minimum version across 20+ files
• HTTP servers without TLS in test infra
• math/rand instead of crypto/rand in ~50 files
• Disabled SSH host key verification in e2e tests
• Hardcoded secrets in test YAML files

❌ Not real (test data):
• 100+ private keys in testdata/ folders
• Intentional insecure configs for local testing
• gRPC servers without TLS in mock services

The lesson isn't "Kubernetes is insecure."
It's that every codebase has flags.
Even the most-reviewed project on the planet.

The question is: when was the last time you scanned yours?

AI tools helped me ship 3x faster but they also introduce vulnerabilities.

Lucky — Thu, 30 Apr 2026 14:43:36 +0000

I've been using Copilot and Claude to build my side projects. Productivity is through the roof. But here's what I found when I actually scanned the output:

Placeholder API keys that weren't placeholders

SQL queries with string concatenation (classic)

Hardcoded JWT secrets

Five dependency CVEs from packages AI suggested

An exposed token I'd committed and completely forgotten about

30 findings total. In code I wrote with AI assistance.

The pattern is consistent: AI generates functional code fast, but it doesn't think about security edge cases. It uses insecure defaults. It copies patterns from training data that include vulnerabilities.

I built a scanner that runs 9 engines at once and generates actual fixes. Not because I'm a security expert — because I needed something to check my own AI-assisted code.

If you ship fast with AI tools, scan your repo. You might be surprised what you find.

Scanned public repos and found a lot of errors

Lucky — Sun, 26 Apr 2026 00:00:45 +0000

I tested Debuggix on 5 random GitHub repos this week:
https://debuggix.space

• Financial chat app → 136 issues
• AI trading bot → JWT authentication bypass
• AI writing agent → Unsafe XML parsing

All scans took under 60 seconds.