Learn the same dependable foundations. Choose how you want to explore them. Neither path locks you in.
Start with computers and files, then write small programs, trace their behavior and learn to design reliable systems.
You do the first implementation yourself. That gives you direct practice, but unfamiliar tools can take more research and experimentation. Tests and review still matter.
Use AI for candidate explanations, alternatives and drafts. Learn what LLMs, agents, MCP and CLI mean through tasks you can actually understand.
Tools can extend what you do, but also add cost, permissions and new failure modes. Your judgment and independent checks remain essential.
A useful shortcut still needs a destination. Let’s define yours.
Gather relevant sources. Keep their context, versions and limits visible.
Write reusable methods with a clear trigger, outcome and a check that can fail.
Connect the right MCP tools, CLI commands or APIs with scoped access and recovery.
Describe the goal, boundaries, steps and evidence that would show it works.
Try this small planning exercise. Nothing is sent or saved.