Lesson 1755 of 2116
AI for Coding: Plan a Zero-Downtime Database Migration
Use AI to enumerate the expand-migrate-contract steps for a schema change and stress-test your plan against rollback scenarios.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2expand-contract
- 3online migration
- 4backfill
Concept cluster
Terms to connect while reading
Section 1
The premise
Online schema changes follow well-known patterns, but every codebase has surprises; AI can produce a complete step list and rollback matrix faster than you can from memory.
What AI does well here
- Lay out expand, backfill, dual-write, cutover, contract phases
- List every code path that reads or writes the affected column
- Generate rollback steps for each phase
- Estimate backfill duration from row counts
What AI cannot do
- Run the migration against your production database
- Predict lock contention without your real workload
- Replace a staging dry run on a copy of production data
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “AI for Coding: Plan a Zero-Downtime Database Migration”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 9 min
Pull Request Descriptions That Actually Help Reviewers: AI-Drafted From the Diff
Most PR descriptions are written under deadline and are useless to reviewers. AI can draft descriptions from the diff itself — surfacing the why behind the change, the test plan, and the rollback path.
Creators · 40 min
Agents vs. Autocomplete — the Mental Model Shift
Autocomplete is a suggestion. An agent is an actor. The mental model you bring to each is different, and conflating them is the number-one reason teams trip over AI coding.
Creators · 50 min
Test-Driven AI Development
TDD was already the gold standard. Paired with an agent, it becomes the tightest feedback loop in software. Here's the full workflow and the pitfalls.
