Posts

Agentic LLM Inference Parameters Reference for Qwen and Gemma

Curated reference of vendor and community inference parameters for Qwen 3.6 and Gemma 4, optimized for agentic workflows and real-world coding systems. Agentic LLM Inference Parameters Reference for Qwen and Gemma

Building a Distributed Task Queue in Go for AI Jobs

Learn how to build a scalable distributed task queue in Go for AI jobs using RabbitMQ, Kubernetes, and Go 1.21. Covers architecture, reliability, fault tolerance, and AI workload optimization. Building a Distributed Task Queue in Go for AI Jobs

Idempotency in Distributed Systems That Actually Works

Idempotency is not an HTTP trick. Learn how to stop duplicate writes, replayed messages, and double charges across APIs, queues, webhooks, and workflows. Idempotency in Distributed Systems That Actually Works

Hermes Voice Control from Your Phone

Set up Hermes voice control on Telegram and Discord using local Whisper and free Edge TTS. Includes setup, tuning tips, examples, and troubleshooting. Hermes Voice Control from Your Phone

Kanban in Hermes Agent for Self Hosted LLM Workflows

Set up Hermes Kanban to safely schedule multi agent tasks on self hosted LLMs using a dispatcher daemon, rate limits and cron based batching. Kanban in Hermes Agent for Self Hosted LLM Workflows

Hermes Agent CLI cheat sheet — commands, flags, and slash shortcuts

Quick reference for Hermes Agent CLI. Install path, hermes chat and -z one-shots, model, gateway, skills, memory, logs, profiles, and slash shortcuts. Hermes Agent CLI cheat sheet — commands, flags, and slash shortcuts

Hermes Agent Skill Authoring — SKILL.md Structure and Best Practices

Author Hermes skills with YAML frontmatter, progressive disclosure, conditional activation, secrets versus config, and index troubleshooting. Hermes Agent Skill Authoring — SKILL.md Structure and Best Practices

Data Infrastructure for AI Systems: Object Storage, Databases, Search & AI Data Architecture

Engineering guide to data infrastructure for production AI systems — S3-compatible object storage (MinIO, Garage, AWS S3), PostgreSQL, Elasticsearch, streaming and messaging (Kafka, Airflow, queues), SaaS integrations, AI-native data layers, benchmarks, and trade-offs. Data Infrastructure for AI Systems: Object Storage, Databases, Search & AI Data Architecture