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Security tools catch patterns. Not bugs that ship. Flag obvious patterns. Flood alerts. Miss real issues: broken access control, missing validation, token handling flaws. Logic errors static analysis can't see. Pattern matching ≠ intent understanding. This video: Combine static analysis with Claude Code LLM reasoning. Traditional: Run tool → 500 findings → noise → ignore → bugs ship. Static analyzers: Good at patterns. Bad at context. Don't know your security model. Flag everything. Alert fatigue. LLMs: Reason about intent. Understand context. But hallucinate. Need verification. Combine: Static for patterns. LLM for reasoning. Verify before flagging. At FlytBase: Local Claude Code scanner. Runs as you work. Focuses on high-risk areas. Adapts to changes. Three parts: Skills: Expose auth flows, data access, validation, permissions, file ops, endpoints. Commands: Orchestrate static analyzers with Claude reasoning. Cut noise. Hooks: Git commits, PRs, CI, IDE real-time. Real bugs caught. Hard parts: Hallucinations (verify with static), context limits (smart slicing), performance (async), developer trust (precision over recall). LLMs help: Intent, context, explanations. LLMs fail: Verification, consistency, completeness. Control: LLM suggests. Static verifies. Developer decides. Video: Skills, commands, hooks implementation. Real examples. Production patterns. 🔗 https://chat.whatsapp.com/CSg6OChjPmC... 🌐 https://www.aiatflytbase.com/ #ClaudeCode #ApplicationSecurity #AIForDevelopers #CodeSecurity Subscribe.