AI | page 17 of 26

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

Run DeepSeek R1 locally: reasoning models on consumer hardware

Run DeepSeek R1 reasoning models locally on consumer GPUs with 16 GB VRAM using Ollama or llama.cpp. Chain-of-thought without cloud API costs.

Generate conventional commits locally with Ollama and Git hooks

Wire a local LLM into Git hooks to automatically generate well-structured conventional commit messages from staged diffs. Excellent drafts for review.

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.

Promptfoo: catch LLM regressions before production

Test LLM outputs systematically with Promptfoo. Run assertions, detect regressions, and catch quality issues before production with CI integration.

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.

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.