Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Build an AI-powered Discord bot that acts as a server assistant using TypeScript. Covers discord.js setup, slash command registration, conversation context management, tool integration, and permission-based access control.
Learn how to build distributed memory for multi-agent systems using Redis, shared databases, event sourcing, and consistency patterns — enabling multiple agent instances to collaborate with shared state.
Implement distributed tracing across AI agent microservices using OpenTelemetry and Jaeger. Learn trace propagation, span design, context injection, and how to visualize end-to-end agent request flows.
Learn how to build production-ready Docker images for AI agents using multi-stage builds, layer caching, slim base images, and security scanning to create fast, secure containers.
Learn the most effective document chunking methods for RAG pipelines including fixed-size, semantic, and recursive splitting, with guidance on overlap, chunk sizes, and markdown-aware strategies.
Learn how to build production-grade prompt libraries for regulated industries with domain-specific templates, terminology handling, and compliance-aware prompting patterns.
Create a visual agent workflow editor using React, drag-and-drop libraries, and a node-based canvas. Learn node rendering, connection drawing, and workflow serialization.
Master DTMF tone detection and processing in AI voice agents. Learn to build hybrid voice-and-keypad interfaces, handle multi-digit input, implement timeouts, and create fallback paths for accessibility.
Master dynamic configuration for AI agents using config stores, hot reload patterns, validation, and audit trails. Update prompts, models, and tools without restarting services.
