Ship Sentinel AI to production CI/CD: run a Python audit CLI on GitHub Actions, cache license verdicts in Qdrant, and route only uncached packages to Groq-hosted LLMs.

Classic slash commands paste a prompt into chat. Skills route work to subagents with their own session, output format, and configurable permissions. When each approach wins.

Stop parsing LLM prose with regex. Use Pydantic, Ollama grammar sampling (GBNF), and LangGraph nodes for guaranteed structured outputs in local security audits.

Break the O(N) latency wall in LangGraph with parallel Map-Reduce workflows, nested subgraphs, and state isolation when auditing dozens of dependencies at once.

LLMs are people-pleasers. Here is how we use Hybrid Logic and Guardrails to stop AI from hallucinating safe verdicts in security audits.

Move past prompt-only bots: design a stateful dependency gatekeeper with LangGraph, Qdrant, and structured audit steps so security checks stay grounded in real data.

Replace duplicated logic across components with Vue composables. Patterns for extracting state, side effects, and shared behavior in the Composition API.

Transform your Mac Studio into a powerful private AI server with Ollama and Telegram integration. Run local LLMs without cloud latency or subscriptions.

Learn how to ship AI-generated code safely to production with automated testing, security scanning, and adversarial validation strategies.

Master coordinating multiple AI agents for parallel development. Learn how to prevent context pollution and orchestrate specialized agents like a Tech Lead.