---
title: "Agentic Programming: A Roadmap"
url: https://daily.dev/posts/agentic-programming-a-roadmap-iuza0pfew
source_url: https://machinelearningmastery.com/agentic-programming-a-roadmap
type: article
source: "Machine Learning Mastery"
published: 2026-05-20T15:07:22.333Z
updated: 2026-05-20T15:07:49.445Z
tags: ["python", "llm", "ai-agents", "langgraph"]
reading_time: 15
upvotes: 6
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Agentic Programming: A Roadmap

**[Machine Learning Mastery](https://daily.dev/sources/mlm)** · 15 min read · 6 upvotes · 0 comments

## Summary

A structured roadmap for learning agentic programming from zero to production. Covers the four core components of agentic systems (reasoning engine, memory, tools, goal management), the ReAct loop, three-tier memory architecture (short-term, long-term via vector DBs, episodic), and tool design principles. Compares major frameworks including LangGraph, CrewAI, Anthropic direct API, and Microsoft Agent Framework. Includes a concrete 6-month learning plan, guidance on multi-agent orchestrator-worker patterns, and production concerns like observability, cost management, failure modes, and human-in-the-loop design.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://machinelearningmastery.com/agentic-programming-a-roadmap>

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---

Tags: [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#langgraph](https://daily.dev/tags/langgraph)

[View this post on daily.dev](https://daily.dev/posts/agentic-programming-a-roadmap-iuza0pfew)
