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Source channel @githubtrending · Post #15325 · Dec 10

#python#agent#llm#rag#tutorial You can learn to build smart AI agents from scratch with a free, open-source tutorial called Hello-Agents by Datawhale. It covers everything from basic concepts and history to hands-on projects like creating your own AI agent framework and multi-agent systems. The course includes practical skills such as memory, context handling, communication protocols, and training large language models. By following it, you gain deep understanding and real coding experience, moving from just using AI models to designing intelligent systems yourself. This helps you develop advanced AI skills useful for jobs, research, or building innovative AI applications. The materials are online and easy to access anytime. https://github.com/datawhalechina/hello-agents

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@githubtrending · Post #14996 · 07/25/2025, 12:00 PM

#ocaml#c#go#java#javascript#python#r2c#ruby#sast#semgrep#static_analysis#static_code_analysis#typescript Semgrep is a fast, open-source tool that scans your code to find bugs and security issues in over 30 programming languages. It works locally on your computer or in your build system, so your code stays private. Semgrep’s rules are easy to write and understand, helping you catch problems early in development, whether in your IDE, pre-commit checks, or CI/CD pipelines. For stronger security, the Semgrep AppSec Platform offers advanced analysis, AI-powered triage, and detailed fix guidance, reducing false alarms and helping developers fix issues quickly without slowing down. This improves code quality and security efficiently. https://github.com/semgrep/semgrep

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@githubtrending · Post #15349 · 12/20/2025, 12:30 PM

#python#ai#bug_detection#code_audit#code_quality#code_review#developer_tools#devsecops#google_gemini#llm#react#sast#security_scanner#supabase#typescript#vite#vulnerability_scanner#xai **DeepAudit** is an AI-powered code audit tool using multi-agent collaboration to deeply scan projects for vulnerabilities like SQL injection, XSS, and path traversal. Import code from GitHub/GitLab or paste snippets; agents plan, analyze with RAG knowledge, and verify issues via secure Docker sandbox PoCs, generating PDF reports with fix suggestions. Deploy easily with one Docker command, supports local Ollama models for privacy, and cuts traditional tools' high false positives. **You benefit** by automating secure audits like a pro hacker—saving time, reducing errors, ensuring real exploits are caught, and speeding safe releases without manual hassle. https://github.com/lintsinghua/DeepAudit