Course

Ship Production Software with AI

Not prompts — judgment. How a senior engineer directs coding agents to build real systems.

The dedicated track for building production software WITH AI, and the software-architecture skill that makes it work. No on-site agent writes your code here — this teaches the human loop a senior runs: own the architecture, write the spec the model can hit, cut the work into agent-sized tasks, review what comes back adversarially, and orchestrate it all without the codebase rotting. The skill is the deliverable, and you keep it.

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All lessons

1
Own the architecture before you prompt
A model will write whatever you point it at. Pointing it well is architecture: boundaries, data flow, and contracts decided before any code exists. This lesson is the mental model a senior holds that a prompt-paster does not.
18 min
2
Write the spec the model can hit
A prompt is a specification. The difference between a junior and a senior prompt is the constraints a senior names that a junior leaves to chance. This lesson turns your architecture sketch into a prompt that produces reviewable code.
16 min
3
Cut the work into agent-sized tasks
Ask for a whole feature in one prompt and you get a wall of code you cannot review. The senior move is decomposition: slices small enough to verify in one pass, sequenced so each builds on a reviewed foundation.
15 min
4
Review what comes back like a senior
Models produce confident, plausible, well-formatted code — which is exactly what makes their mistakes dangerous. This lesson is the review rubric: the specific failure classes to hunt for, because "it looks right" is not review.
17 min
5
Orchestrate agents without the codebase rotting
Putting it together: context, guardrails, and a verification loop that lets you run coding agents across a real codebase without it drifting into an incoherent pile. This is the senior loop at full speed.
18 min