Learn to actually use AI, built for Software Developers
Developers already have access to AI coding tools, but most of them are using a fraction of what is possible. The real gain is not just autocomplete — it is reviewing unfamiliar codebases faster, generating tests and documentation that never get written, and debugging with a collaborator who has read everything. The limit is important: AI-generated code needs review. It can introduce security issues, miss edge cases, and look right while being subtly wrong.
What you'll be able to do
- Generate a full test suite for a function you just wrote, including edge cases you would have missed
- Get a plain-English explanation of legacy code you inherited and were afraid to touch
- Draft API documentation and README files from the actual code, not from memory
- Debug a gnarly issue by describing it conversationally and walking through hypotheses together
- Scaffold boilerplate for a new service, route, or component without the copy-paste tax
The tracks that matter most for you
Everyone starts with the same core (what the machine really is, and how to drive it), then goes deep on the work you actually do. For software developers, these carry the most weight:
The difference between useful code output and garbage is almost entirely in how you frame the request View track → Productivity
Documentation, code review, and the surrounding work that slows shipping View track → Data & Analysis
Data pipelines, SQL queries, and analysis scripts that developers often write under pressure View track →
Learn it, or have it done for you
You're software developers, not a prompt engineer, and you don't need to become one. Start the course free and build a working AI habit yourself — or, if you'd rather skip to the outcome, MCF Agentic builds the AI workflows into your business directly.