Inti Inside

👾 RAPTOR - Autonomous Pe*******on Testing Framework by Claude Code

Built by Gadi Evron, Daniel Cuthbert, Halvar Flake, Michael Bargury, and John Cartwright

RAPTOR is an open-source agentic framework that autonomously handles the entire vulnerability research lifecycle:

- Code understanding & attack surface mapping
- Static analysis with Semgrep & CodeQL
- Binary fuzzing with AFL
- LLM-powered vulnerability analysis
- Proof-of-concept exploit generation
- Automated patch proposals
- Structured reporting

The future of offensive security research isn't just faster tools it's autonomous agents that think, test, exploit, and fix.

RAPTOR is open source.

GitHub - gadievron/raptor: Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configure the agent for... Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we confi...

👾No existe “el mejor stack”, existe el más adecuado para tu problema

Elegir tecnología depende del contexto:
→ Node/NestJS para TypeScript
→ Python para IA
→ Go para alto rendimiento
→ Django/Laravel para MVPs

Pero más importante que el stack es cómo construyes tu software.

✓ Aplica siempre: buena arquitectura, validación de datos, manejo de errores, logs, versionado de API y tests. Un buen código escala. Una mala base… no.