Quadratique Engineering Discipline for AI Agents
Course / M1
Module 1 of 12

Discipline in the Age of Agents

Fast realisation, unreliable execution, and the return of engineering discipline

AI collapsed the distance between design and code, but not the fidelity problem. This module reframes the job around standards, decomposition, verification, and planning work that agents can actually execute.

5 sections

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  1. 01

    The thing that actually changed

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    AI collapsed the distance between the design in your head and the code in your editor, but fidelity did not come with it.
  2. 02

    Why discipline matters more now, not less

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    When code generation accelerates, discipline is what converts speed into shipped product instead of shipped debt.
  3. 03

    The real constraint

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    Decomposition keeps reasoning sharp and keeps the result checkable.
  4. 04

    Without a standard, no delegation

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    Delegation only works when both sides share a standard for how the work is shaped.
  5. 05

    Plan what you can, evolve what you can't

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    Plan the ordinary work agents can execute, and reserve evolutionary design for the genuinely unknown parts.