Become an
AI Agents Engineer

The future of software is agentic. Get ahead of the curve - learn to architect the systems everyone else will be scrambling to build.

The Agent Stack

The Brain

Reasoning via state machines, ReAct loops, and orchestration patterns

The Memory

Context windows, vector-backed semantic recall, and episodic persistence

The Hands

MCP servers, sandboxed execution, and agent-first API design

The Guardrails

Deterministic wrappers, LLM unit testing, and loop regression testing

Coming Soon

What's Next

Topics I'm working on next.

  • [Lab] Shoe Salesman Agent - Product Catalog & RAG PipelineFebruary

    Scrape On.com product data and build the retrieval pipeline - embeddings, vector store, and search interface the agent will use to find shoes.

  • [Lab] Shoe Salesman Agent - Technical DesignFebruary

    Architecture decisions, component diagram, tech stack rationale, and infrastructure setup for Al Bundy - Shoe Salesman Agent

  • [Lab] Shoe Salesman Agent - Agent ScaffoldingMarch

    Set up Google ADK, configure the agent loop, define tool interfaces, and get a basic conversational agent running locally.

About the Author

Hi, I'm Michal.

I'm a full-stack engineer with 15+ years of experience building systems at scale at AWS and Google. The industry is shifting fast - building websites is becoming commoditized, and AI agents are emerging as the critical next frontier. Engineers who don't adapt risk being left behind.

That's why I started Practically Agents - to help experienced engineers make the leap and thrive in this new reality.

Learn more about me →
Michal coding
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