AI Learning

Curated resources to learn about AI models, prompt engineering, and building AI-powered applications.

terminal4 min read

Claude Code Usage Monitor — Live Statusline Script

A Bash statusline script for Claude Code that shows model, live rate-limit bars (5h / 7d), session tokens, and cumulative all-time token total.

claude-codestatuslinemonitoringbashtokensrate-limitterminalproductivity
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auto_awesome25 min read

Complete Guide to Gemini and the Google AI Ecosystem

A comprehensive guide to Gemini: models, prompting, Deep Research, NotebookLM, Canvas, Workspace integrations, and the A-C-T responsible AI framework.

GeminiGoogle AINotebookLMDeep ResearchCanvaspromptingreasoningmultimodalGoogle Workspace
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spaComing soon

Spring AI

How does it work? Example application.

SpringJavaframeworkSpring AI
verifiedComing soon

My Best Practices for AI Development

Security first, Tests/dry run, Dedicated API, Kill switch, Monitoring, Audit logs, No direct prod DB access.

securitymonitoringauditkill switchbest practicesdry run
chatComing soon

How to Communicate with LLMs

Prompt, Context, Structured output, Function calling.

promptcontextstructured outputfunction callingkomunikacja
apiComing soon

How to Build an API? (Best Practices) + MCP

What is a tool vs MCP, and how to handle MCP conflicts.

APIMCPtoolbest practicesdobre praktykikonflikty
dictionaryComing soon

What is What? Key AI Concepts and Terminology

Explanation of key AI concepts: LLM, AGI, Agent, Workflow, Token and more.

LLMAGIagentworkflowtokenpojeciaslownik