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AI Skills for Real Engineers
Build a repeatable workflow for working with coding agents without giving up your engineering standards.
One practical lesson each day. Learn the skill, try it on real work, and finish the week with a workflow you can reuse.
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From fuzzy idea to a workflow you trust
Each day is one skill and one small exercise on work you already have. Nothing here is theory you can't run the same afternoon.
Day 1: Choose your workflow path
Start with reusable agent workflows instead of one-off prompts.
Day 2: Clarify the work with /grill-with-docs
Find the fuzzy decisions before an agent starts building.
Day 3: Test uncertain ideas with /prototype and /handoff
Make the unknown visible in a small, throwaway context.
Day 4: Turn decisions into /to-spec and /to-tickets
Break large work into reviewable vertical slices.
Day 5: Run safer AFK agents with Sandcastle
Scoped tasks, isolation, visible logs, and reviewable commits.
Day 6: Review the result with /code-review
Find avoidable mistakes and improve the system around the diff.
Day 7: Put the full workflow together
Run the loop from fuzzy idea to a better next agent run.
Day 7, what you'll have
One written workflow, the slash commands that run it, and a review habit that keeps your codebase one an agent still performs well in.
Built from Matt Pocock's working AI skills
Matt created AI Hero and the practical agent skills taught in this course. Before that, Total TypeScript.
Matt is one of the best developer educators in the world.
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