The Biggest Problem Of AI Coding Is Finally Solved
🔗 Link do vídeo: https://www.youtube.com/watch?v=qkc1j3_k8gs
🆔 ID do vídeo: qkc1j3_k8gs
📅 Publicado em: 2026-05-08T14:10:04Z
📺 Canal: AI LABS
⏱️ Duração (ISO): PT10M30S
⏱️ Duração formatada: 00:10:30
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New claude code setup catches security bugs before they ship. This claude code tutorial covers how to use claude code with Vercel DeepSec, with claude code tips for coding with ai and claude code skills that handle full security reviews on real codebases.
Community with All Resources 📦: http://ailabspro.io
Video Code: V58
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AI coding has accelerated how fast people ship apps, but security issues have piled up at an even faster rate. Recent incidents include an agent that deleted an entire project, another that wiped a production database during unrelated work, and Apple's internal Claude.md getting leaked. Vercel just released DeepSec, an ai security harness designed to catch these breaches in AI-generated applications.
DeepSec runs on top of Claude Code and Codex under the hood, using Opus 4.7 at max effort and GPT 5.5 at x-high reasoning. It batches files for parallel processing, which is what makes it work on large codebases. The reported false positive rate sits around 10 to 20 percent, which is strong for an ai security testing workflow at this scale.
This claude code tutorial walks through how to setup claude code with DeepSec end to end. The setup claude code flow starts with deepsec init, which builds the .deepsec folder and prepares the prompt your agent uses to generate info.md. From there, deepsec scan runs the regex pass to filter security-sensitive files, deepsec process handles the agent investigation in batches, deepsec report produces JSON and Markdown output, and the optional revalidation step cross-checks findings before export. The best claude code setup for this kind of review uses your existing Claude Code subscription rather than burning API credits, which is what we did during testing.
For vibe coding ai workflows where speed matters more than careful review, ai security tools like this fill a real gap. We tested DeepSec on an OWASP practice app with 10 known vulnerabilities, and it surfaced three findings because info.md told it to focus beyond the documented issues. On a second app, it returned nine well-scoped findings with severity levels, source lines, the commit that introduced each issue, the responsible author, and recommended fixes. A direct Claude review of the same code returned 39 issues, narrowed to 13 once we asked Claude to stay in scope, but DeepSec still missed runtime-level issues like CORS misconfigurations because it focuses on patterns visible directly in code.
To make this repeatable, we packaged the entire workflow as a DeepSec skill. This is the claude code skills setup that automates init, scan, process, report, and export from a single prompt, including the assets, evals, and reference scripts that cover the gaps we found during testing. If you are following along on macOS, the how to setup claude code on mac steps are identical since DeepSec runs through the standard Claude Code CLI. The claude code setup tutorial in this video covers the full best setup for claude code with DeepSec, including the claude code tutorial steps for running it against your own repos.
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