Learning Outcome
Work with AI in short cycles while keeping design and correctness decisions human-led.
Core Ideas
- Small batch: A limited change reviewed before continuing.
- Human ownership: Developer remains responsible for correctness.
- Diff review: Inspecting what changed line by line.
- Acceptance criteria: Observable conditions for done.
Career Use Case
A developer can work with AI in short cycles: state intent, inspect a small patch, run tests, and decide the next step.
Practical Workflow
- Start by naming the outcome: what should improve after using AI Pair Programming Workflow?
- Add the input material, constraints, and success criteria before asking for output.
- Ask for assumptions and uncertainty when the answer affects a real decision.
- Verify important claims, numbers, and policy statements before publishing or acting.
Hands-On Mini Task
- Design a three-step AI pair-programming loop for a bug fix or small feature.
- A good loop keeps scope small and verifies each change before expanding.
- Before moving on, explain how Small batch and Human ownership change the decision.
Common Mistakes
- Using a generic prompt when the task needs clear context.
- Accepting polished wording as proof of accuracy.
- Sharing private data without redaction or approval.
- Skipping a final human review for important decisions.
Quick Revision
Module 5: AI For Coding lesson 15 is about practical judgement: use AI to increase speed, but keep the goal, context, evidence, and accountability clear.
FAQs
Is AI Pair Programming Workflow only for technical users?
No. The course treats AI as a practical workplace and learning skill, with technical depth only where it improves judgement.
Should I trust AI output immediately?
No. Use AI to accelerate work, then verify facts, privacy, source fit, and reasoning before relying on the result.
What should I practice after this lesson?
Design a three-step AI pair-programming loop for a bug fix or small feature.
How does the linked practice quiz help?
The practice quiz checks the lesson concepts immediately with feedback, while the paid mock bundle uses separate assessment questions.