AgentWay.dev

From using agents to
building a credible PoC

For full-stack engineers turning agent experiments into team workflows

A guided path from agent loop to tools, memory, evals, and production

Start the core path Explore Specials

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Demand Signals

Agent skills are becoming real engineering requirements

Public roles show the shift from AI usage to agent delivery

Core map

4 stages for your first credible agent PoC

End with capstones for a framework, team workflow, and harder system trade-offs

Optional prep

Stage 0 · Preparation

Strengthen TypeScript and setup before agent work

1 pathsTypeScript and setup

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Core foundations

Stage 1 · Foundations

Learn the loop, tool use, prompts, then run your first agent

3 pathsFundamentals first

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Engineering patterns

Stage 2 · System shape

Add memory, evals, and design patterns that keep demos together

3 pathsFrom prototype to system

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Advanced agent building

Stage 3 · Delivery

Move toward delivery with MCP, RAG, multi-agent, HITL, and operations

6 pathsProduction-minded systems

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Core stages

Suggested route, skippable when needed

Core paths

A capability map from basics to delivery

Capstones

From frameworks to real workflows to harder system trade-offs

Why AgentWay?

Free resources help you explore; AgentWay gives you a path

From scattered learning to PoC

Stop jumping between docs, repos, and videos; build the full picture first

Specials for the hard parts

Return for RAG, serving, security, SFT, graph systems, and multimodal agents

Scattered learning vs. a path to a PoC

Free resources

AgentWay

Good for explorationOrganized around the first PoC

Hard to turn into deliveryExercises tied to real systems

Production gaps appear lateSpecials cover the hard parts

3 core stages + 1 topic set·3 capstones·6 Specials

18 total paths·167 Flashcards