AGENTWAY.DEV
From using agents to
building a credible PoC
For full-stack engineers who want agents doing real work on their team
Stages 0 and 1 free · no card required
Demand signals
Agent skills are moving into real engineering roles
Public roles show the shift from using AI to delivering agents
The skills these roles keep asking for are all taught on the core path
- Agent primitivesP1 · P6
- Context engineeringP4
- Tools and runtimeP7
- Evals and dataP5 · P12
- Working with modelsP14 · P15
- Agent-native executionP10
Job links as of September 2026 · Skills summarized from our reading of three DeepSeek Harness JDs
Core path
4 stages for your first credible agent PoC
Then 3 capstone projects tie frameworks, team scenarios and complex systems together
- PreparationCatch up on TypeScript and your environmentTypeScript and setup1 path
- AwakeningThe loop, tools, and prompts; run your first agentLoop, tools, prompts3 paths2 exercises · Full access
- ForgingMemory, evals, and design patterns that hold up in real useMemory, evals, patterns3 pathsCapstone P6
- ExpeditionMCP, RAG, multi-agent, human-in-the-loop, and operationsMCP, RAG, multi-agent6 pathsCapstone P12
How you learn
Read, practice, remember, then build a whole project
Run it, then read
Every lesson starts with code that runs; the theory comes once it worksEach lesson starts with running code
Do the exercises
Build locally, paste a run log for an automatic checkBuild locally, checked automatically
Remember with flashcards
167 flashcards on a spaced-repetition schedule; ask the AI when you're stuck167 cards, spaced repetition
Build a capstone
3 complete projects you can demo and whose trade-offs you can explain3 complete projects
Beyond the core path
Specials and case studies
Once the core path runs, go deeper where your project needs it
Start with the 4 free paths
Full access is a one-time $79, yours for life