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Anthropic Checklist for AI Coding Setup and Review

Using Anthropic for coding can feel fast until one missed review step creates a mess you have to unwind later. This checklist helps you set up safer prompts, cleaner handoffs, and better project continuity.

A coding session can go sideways fast when you accept a confident-looking change without checking what actually moved. That is the moment where Anthropic becomes less about model output and more about your setup around it. In a build workflow, using Anthropic with this checklist helps you catch the small misses that turn into broken auth, messy abstractions, or lost project context.

Before you prompt

  • Define the task in one sentence. A narrow request gets better code than a vague product wish.
  • Name the files or system area involved. This keeps the assistant from wandering across the project.
  • State constraints upfront. Mention framework, styling approach, and anything that should not change.
  • Decide whether you want code, diagnosis, or both. Mixed requests often produce muddy answers.
  • Keep secrets out of the prompt. Use environment variables and local configuration instead of pasting sensitive values.

While using Anthropic

  • Ask for one meaningful change at a time. Smaller diffs are easier to inspect and easier to roll back.
  • Request an explanation of the change. A short rationale helps you spot when the model solved the wrong problem.
  • Have it list assumptions? Hidden assumptions are where many AI-generated bugs begin.
  • Ask what could break. This surfaces edge cases before you discover them in production.
  • Prefer explicit edits over broad rewrites. Large rewrites can erase working logic along with the bad parts.

Review before you accept anything

  • Check the diff, not just the final screen. A working UI can still hide risky backend changes.
  • Look for duplicated logic. AI tools can solve the same problem twice in different places.
  • Inspect auth and permissions carefully. Verify protected routes, role checks, and session handling before relying on them.
  • Validate database writes. Confirm create, update, and delete paths do what you intended.
  • Read any new dependency names. Unexpected packages deserve a closer look.

When Anthropic gives you a useful answer, the real win is keeping the prompt, the decision, and the next step attached to the project.

After each build session

  • Save the prompt that solved the hard problem. Good prompts are reusable project assets.
  • Write a short recovery note. Capture what changed, what is unresolved, and what should happen next.
  • Promote surviving todos out of your scratch notes. If a task still matters tomorrow, it should live somewhere visible.
  • Record why you chose one path. Future you will care more about the decision than the wording of the prompt.
  • Keep one source of truth for the project state. That is what makes resuming easy after time away.

For that part of the workflow, VibeCrumbs is a useful companion. It gives a fast-moving AI build one place for prompts, notes, and feature intent without turning the project into heavy process.

Tooling decisions around Anthropic

  • Use Anthropic when you want strong reasoning on a scoped coding task. It helps most when your request is concrete.
  • Pair it with an editor you trust for review. Generated code still needs human inspection.
  • Keep a separate testing habit. A persuasive answer is not the same as a verified result.
  • Use a journal or prompt library outside the chat. Chat history alone is a weak memory system.
  • Treat each accepted change as part of a longer codebase. The local win is only worth it if the project stays understandable.

Quick fail checks

  • You cannot explain what changed. Pause and inspect before moving on.
  • The assistant touched more files than expected. Re-review the scope.
  • A bug disappeared but the reason is unclear. Save the prompt and note the cause while it is fresh.
  • You are about to open a new session with no context note. Write one first.
  • The project feels fast but fragile. That usually means memory is missing, not speed.

A simple way to use this checklist

Run through the first section before a prompt, the second while you work, and the rest before you end the session. That gives Anthropic a better role inside your process. It becomes a sharp tool in a controlled loop instead of a chat you hope will remember everything for you.

Save your Anthropic prompts and project notes in VibeCrumbs

Keep the vibe. Lose the chaos.

You're already building. Now keep track of it.

Start your journal