Debuggix.space
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RepDB
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.
RepDB is a one-time-purchase exercise dataset for developers building fitness and workout apps โ not a subscription, not a rate-limited API. You download the data once and own it: JSON (and SQLite on the higher tier), WebP images, and full EN/DE/ES translations, with no per-request billing and no dependency on our servers staying up.
A free tier includes 400 exercises with flat-style 512ร512 images, attribution-licensed for commercial in-app use. The Starter tier ($199) adds the full catalog in classic white-background style. Standard ($399) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings โ exclusive to that tier.
Every exercise includes muscle-group highlighting, equipment/muscle icons, MET values, and safety/goal tags. Compared to GIF- or JPG-based competitor APIs, RepDB images are transparent WebP with no watermarks, so they drop into any app UI without a white box around them.
Debuggix.space RepDBDebuggix.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.
RepDB's answer:
RepDB is sold as a one-time download, not a metered API โ you own the JSON/SQLite data and WebP images outright, with no rate limits, no per-request billing, and no risk of the vendor cutting off access. It's also the only dataset in this space with EN/DE/ES translations, transparent (alpha-channel) images with no watermark, muscle-group highlighting, safety/goal tags, and looping animations on the higher tier.
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.
RepDB's answer:
Most alternatives are subscription APIs โ you pay monthly, you're capped on requests, and ExerciseDB's terms of use explicitly forbid caching or storing the data at all, so every image render is a live paid API call. RepDB is the opposite: pay once, download the files, self-host with zero ongoing dependency. It's also the only option offering true DE/ES localization and transparent images instead of a white box behind every exercise.
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.
RepDB's answer:
Solo developers and small teams building fitness or workout-tracking apps (iOS, Android, web) who need licensed exercise images and structured exercise data, but don't want to build their own media pipeline or depend on a rate-limited third-party API.
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.
RepDB's answer:
RepDB grew out of a consumer workout app its creator was building solo. Sourcing exercise images and data meant either paying for a subscription API with usage caps and no caching rights, or producing everything from scratch. The illustrated, multi-language dataset was built for us first, then split out as its own product once it became clear other indie developers had the same problem and preferred to buy the data outright rather than rent it through an API.
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, Debuggix.space seems to be more popular. It has been mentiond 1 time since March 2021. 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 / 2 months ago
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