AI

Hands-on guides to LLMs, agents, prompt engineering, and the AI tools Botmonster runs every day for real work, not demos.

RAG vs. long context: choosing the best approach for your LLM

Compare RAG and long context windows: different tools for different problems. Understand tradeoffs, costs, and scalability for production LLM systems.

MCP vs. A2A: the two protocols powering the agentic web

MCP connects agents to tools and data sources. A2A handles agent-to-agent messaging and task delegation. The two base protocols of the agentic web.

Personal AI research assistant: local semantic search

Build an offline AI research assistant that ingests PDFs and notes, then answers with cited sources using Ollama and ChromaDB on consumer hardware.

Phi-4 Mini vs. Gemma 3 vs. Qwen 2.5: best SLM for coding tasks in 2026

Head-to-head coding benchmarks of Phi-4 Mini, Gemma 3 4B, and Qwen 2.5 Coder 7B on an RTX 5070: scores, VRAM usage, and editor integration steps.

AI-powered log analysis: find anomalies in server logs with local LLMs

Use local LLMs with Ollama to analyze server logs, detect anomalies, and find root causes. No cloud, no data exposure, far cheaper than Datadog.

Automate code reviews with local LLMs: a CI pipeline integration guide

Automate code reviews in your CI pipeline using local LLMs on self-hosted runners. Review pull requests with GPU hardware and Ollama, no APIs.