Is this route for you?

Do you want to make AI capabilities easier for developers to understand, adopt, and use correctly?

• You enjoy building software and explaining why it works.
• You care about first-run success, examples, documentation, and developer trust.
• You want developer feedback to shape the product.

What you'll be able to do: Build on shared foundations to turn technical capabilities into trustworthy interfaces, runnable examples, and reusable learning assets.

Start with

• Complete the shared software engineering and AI foundations, or demonstrate equivalent working knowledge.
• Be able to read API contracts and run local examples from source.
• Be comfortable testing instructions from a new developer's point of view.

The route

Portfolio project: Developer Adoption Kit

Package one AI capability as a discoverable integration that another developer can run, inspect, and verify.

• A runnable API or tool integration
• A concise quickstart and working example
• A validated skill or reusable agent package
• An evaluation and portability report
• A documented improvement based on developer feedback

You're ready when you can

• Explain the difference between an instruction package and an executable tool.
• Design a small, unambiguous interface with useful failure messages.
• Create a runnable example that works from a clean setup.
• Validate discovery, invocation, packaging, and portability.
• Turn observed developer friction into a concrete product or teaching change.

What this route covers, honestly