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