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debugcode.ai
Debuggex is a security platform that runs 9 specialized engines against your codebase in parallel, then uses AI to generate working fixes โ not just a list of problems.
Paste a GitHub repo URL or upload a ZIP. In about 60 seconds, Semgrep, Gitleaks, Trivy, Bandit, ESLint, Hadolint, Checkov, OSV-Scanner, and TruffleHog all run at once. Each engine catches what the others miss โ SQL injection, hardcoded secrets, dependency CVEs, Docker misconfigurations, exposed credentials in git history, and more.
Then AI takes over. For every confirmed vulnerability, you get an actual code patch with a diff view, an explanation, and a confidence score. Review it. Copy it. Or open a PR with all fixes applied in one click.
Built for the reality of AI-assisted development. Code generated by Copilot, ChatGPT, or Claude often includes insecure patterns โ placeholder secrets, missing input validation, and skipped edge cases. Debuggix catches what AI misses.
Features include a Security Copilot that answers questions about your codebase by reading your actual source files, one-click GitHub PRs, shareable public reports, README security badges, team collaboration, Slack notifications, and webhooks for CI/CD pipelines.
Free tier includes 10 scans per month with all 9 engines. Pro starts at $29/month for private repos and AI fixes. Pro+ at $50/month adds the Copilot, API access, and team features. No credit card required to start.
Your code is deleted immediately after scanning. Nothing is ever used to train AI models. All engines are open source and auditable. Built by a solo developer with no VC funding โ just a genuine need to make security accessible to every developer.
VS Code
Debuggix.spaceDebuggix.space's answer:
Debuggix is the only platform that runs 9 specialized security scanners in parallel and uses AI to generate working code fixes โ not just a list of problems โ in under 60 seconds.
Debuggix.space's answer:
Traditional security tools only find vulnerabilities and leave developers with hours of manual fixing. Debuggix both finds AND fixes by orchestrating Semgrep, Gitleaks, Trivy, Bandit, ESLint, Hadolint, Checkov, OSV-Scanner, and TruffleHog together, then generating production-ready patches with AI. One platform replaces 9 separate subscriptions.
Debuggix.space's answer:
Individual developers and small teams who want enterprise-grade security scanning without the enterprise price tag or complexity โ people who need to ship secure code but don't have dedicated security teams.
Debuggix.space's answer:
I built Debuggix because I was tired of running 9 different security tools manually and spending hours fixing each finding. I scanned my own code first and found 30 vulnerabilities โ including my own GitHub token sitting in plain text. That moment convinced me this tool needed to exist. It's built by a solo developer with no VC funding โ just a genuine desire to help other developers secure their code faster.
Debuggix.space's answer:
FastAPI, React, TypeScript, Tailwind CSS, PostgreSQL, Redis, Celery, Docker, Render, DigitalOcean, with AI powered by Google Gemini, DeepSeek, OpenAI, and OpenRouter with automatic fallback.
Debuggix.space's answer:
-Early-stage developers scanning their side projects and open source repos
-Small teams using the Pro tier for private repository scanning
-Individual developers who found Debuggix through Reddit, Hacker News, and developer communities
Based on our record, VS Code seems to be a lot more popular than Debuggix.space. While we know about 1215 links to VS Code, we've tracked only 1 mention of Debuggix.space. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / 13 days ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 27 days ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / about 2 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / about 2 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / about 2 months ago
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 (https://debuggix.space) for open-source repositories. For example, we recently scanned a popular IoT toolkit called RuView. Standard single-engine scanners flagged nearly 100... - Source: Hacker News / about 1 month ago
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