Debuggix.space
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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.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
Debuggix.space
GitHub CopilotDebuggix.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
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be a lot more popular than Debuggix.space. While we know about 387 links to GitHub Copilot, 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.
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
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 26 days ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 2 months ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 2 months ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 2 months ago
Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 2 months ago
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