Most developers do not scan their code. Not because they do not care about security. Because the tools are either too expensive, too complicated, or too noisy.
I spent the last month testing 12 security tools across dozens of open-source repositories. Some were enterprise platforms that cost hundreds per developer. Some were free open-source tools that do one thing well. Some were AI-powered platforms that promise the world. Here is what I learned.
Snyk is the industry standard for a reason. It covers SAST, SCA, container scanning, and infrastructure-as-code in one platform. The developer experience is polished. The integrations are mature. But at $98 per developer per month, it is priced for enterprises with dedicated security teams. A five-person startup pays $490 a month. A solo developer pays more for Snyk than for their entire cloud infrastructure. The free tier is limited to one developer and requires a credit card.
Semgrep is the most powerful static analysis engine available. Its custom rule language is unmatched. Security researchers love it because they can write rules for anything. But it only does static analysis. No dependency scanning. No secrets detection. No container security. To match what Snyk covers, you need to run Semgrep alongside Trivy, Gitleaks, Checkov, and four other tools. Each has its own CLI, its own configuration, and its own output format. The cognitive load of managing five different security tools is why most developers never start.
Trivy is the best open-source dependency and container scanner. It is fast, free, and integrates easily into CI/CD pipelines. But it dumps raw output with no filtering. A scan of a medium-sized repository produces hundreds of findings. Most are in test files, build artifacts, or dependencies that do not affect production. Triaging Trivy output manually takes hours. Most developers run it once, see the wall of text, and never run it again.
Gitleaks is essential for catching hardcoded secrets. It finds API keys, tokens, and passwords before they reach production. But like Trivy, it does one thing. You still need separate tools for everything else. The same is true for Bandit for Python security, Checkov for infrastructure-as-code, ESLint for JavaScript, Hadolint for Dockerfiles, and OSV-Scanner for open-source vulnerabilities. Each is excellent at its specific category. None gives you the full picture.
The noise problem is worse than you think. Every security tool produces false positives. Test files flagged as production code. Build artifacts treated as application logic. Documented intentional patterns reported as vulnerabilities. A typical scan of a medium-sized repository produces 100 to 200 findings. After manual triage, maybe six are real. The other 194 are noise. This is not a bug. It is a fundamental problem with how security tools work. They pattern-match without understanding context.
The AI solutions are not as smart as they claim. Several platforms now offer AI-powered fix generation. The idea is compelling. Find a vulnerability and the AI writes the patch. In practice, the fixes are hit-or-miss. Sometimes they are perfect. Sometimes they introduce new bugs. Sometimes they suggest changes that do not compile. AI fix generation is a helpful assistant, not a replacement for human review. Anyone who tells you otherwise is selling something.
The real cost of security tools is not the license fee. It is the time spent triaging false positives. If a developer spends three hours sorting through 200 findings to find six real issues, that is three hours they are not building features. For a startup shipping fast, that time is more valuable than the monthly subscription. The tools that succeed are the ones that reduce triage time, not the ones with the most features.
What actually works is a combination of breadth and intelligence. You need all the engines running so nothing slips through. You need AI that reads your project documentation to understand what is intentional and what is not. You need confidence scores on every finding so you know where to focus. And you need it at a price that makes sense for a small team.
After testing everything, I built my own. It is called Debuggix. It runs nine engines in parallel. Semgrep for static analysis, Bandit for Python, Gitleaks and TruffleHog for secrets, Trivy and OSV-Scanner for dependencies, ESLint for JavaScript, Hadolint for Dockerfiles, and Checkov for infrastructure. The AI reads your README and SECURITY.md to filter out noise. A scan with 134 raw findings surfaces six real issues. It is free for public repos and $29 a month for private ones. No per-developer pricing. No credit card for the free tier.
You can try it at debuggix.space. Or keep running five different CLI tools and spending your afternoons triaging false positives. Either way works.