When the agent changes architecture, capture why. A short ADR prevents future agents from undoing the decision casually.
14 min · Reviewed 2026
Write Architecture Decision Records With AI
When the agent changes architecture, capture why. A short ADR prevents future agents from undoing the decision casually.
Name the job before naming the tool.
Write the smallest useful scope the agent can finish.
Run the result as a user, not as a fan of the tool.
Inspect the diff, data access, and failure path before sharing.
Write ADR-003: We use Supabase RLS as the permission authority. Include context, decision, consequences, and what future agents must not change.Use this as the working prompt or checklist for the lesson.
What should the user be able to do when this is finished?
What data should the app or agent never expose?
What test proves the change works?
What rollback path exists if the output is wrong?
End-of-lesson check
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-coder-adr-with-agent-creators
What is the main idea of "Write Architecture Decision Records With AI"?
When the agent changes architecture, capture why. A short ADR prevents future agents from undoing the decision casually.
Use AI as the final authority for the whole decision
Avoid checking the answer once it sounds polished
Focus only on speed instead of judgment
Which concept is most central to "Write Architecture Decision Records With AI"?
architecture
ADR
decision log
documentation
Which use of AI fits this topic best?
Let the AI decide what matters without your review
Use the answer before checking whether it fits the situation
Name the job before naming the tool.
Treat the AI output as automatically correct
What should a careful learner remember about "Community signal"?
Use AI to draft or organize ideas about ADR, then verify before acting.
Skip the context so the tool can guess faster
Treat the output as private even after sharing it online
Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
Act immediately because the AI answer is written clearly
Use AI for drafting and comparison, but verify before publishing or relying on it.
Hide uncertainty so the final answer looks cleaner
Use private or sensitive details before checking permission
How should AI output about ADR be treated?
As proof that no other source is needed
As a replacement for context, consent, or expert review
As a draft or helper output that still needs human judgment and verification
As something that becomes correct when it sounds confident
Name one way to verify an AI answer about ADR.
Which action would help you apply "Write Architecture Decision Records With AI" responsibly?
Use the tool to avoid thinking through the tradeoff
Keep going even if the output conflicts with a trusted source
Treat the AI output as automatically correct
Write the smallest useful scope the agent can finish.
