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Conversational AI Technology

Deep dives into the technology behind AI voice agents — LLMs, speech-to-text, real-time voice processing, and more.

9 of 70 articles

Technology
10 min read8Mar 13, 2026

Agentic AI with Message Queues: NATS, Kafka, and RabbitMQ Patterns

Compare NATS, Kafka, and RabbitMQ for agentic AI workloads. Learn async tool execution, event-driven agents, and dead letter queue patterns.

Technology
10 min read12Mar 13, 2026

Building Agentic AI Data Pipelines: When ETL Meets LLM Extraction

Explore how to build agentic AI data pipelines that combine traditional ETL with LLM-powered extraction, classification, and validation loops.

Technology
11 min read11Mar 13, 2026

Agentic AI Database Design: PostgreSQL for Agent State and Conversation Memory

Design PostgreSQL schemas for agentic AI systems covering conversation storage, agent state machines, tool logs, and vector memory columns.

Technology
11 min read7Mar 13, 2026

The Agentic AI Testing Pyramid: Unit, Integration, and E2E for Agent Systems

Comprehensive testing strategy for agentic AI — unit testing tools and prompts, integration testing agent loops, E2E multi-agent flows, and mock LLM patterns.

Technology
10 min read9Mar 13, 2026

Building Agentic AI with Redis: Caching, Sessions, and Pub/Sub Patterns

Master Redis patterns for agentic AI including LLM response caching, conversation sessions, pub/sub for real-time events, and agent performance optimization.

Technology
10 min read6Mar 13, 2026

Building an Agentic AI API Gateway: Routing, Authentication, and Load Balancing

Design an API gateway for agentic AI with multi-model routing, API key management, rate limiting, WebSocket proxy, and health-based routing.

Technology
11 min read10Mar 13, 2026

Agentic AI Observability: OpenTelemetry, Grafana, and Custom Agent Metrics

Build a full observability stack for agentic AI with OpenTelemetry tracing, Grafana dashboards, custom agent metrics, and alerting strategies.

Technology
10 min read5Mar 13, 2026

Agentic AI CI/CD: GitHub Actions for Automated Agent Testing and Deployment

Build CI/CD pipelines for agentic AI using GitHub Actions with prompt regression tests, LLM evaluation, canary deployments, and rollback strategies.