COURSE 22L1100% FREE
Verified 2026-08-10

Playbook: developers

Engineering workflows for coding assistants: generate, explain, test, and review—without skipping security or ownership.

What it is

Engineering workflows for coding assistants: generate, explain, test, and review—without skipping security or ownership.

Why it matters

AI-written code can be plausible and wrong. You still own bugs, licenses, and secrets.

How it works (plain)

May draft: boilerplate, tests, refactors, docs, SQL drafts for review. Must human: authz changes, crypto, payments, production data access, dependency trust. Verify: run tests; read diffs; check licenses; never paste secrets.

Everyday example

Assistant drafts a function; you write/adjust tests first or immediately after and watch them fail/pass.

Try it

Enable an assistant on a toy repo. Require tests for every generated function this week.

Myths

⚠️ Myth: If it compiles, it’s done.
✓ Reality: Correctness, security, and maintainability remain human duties.

Sources

  • Course 21 Python labs; Course 19 security; OWASP LLM Top 10
  • Provider coding-assistant ToS (cite yours)