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The Gemini Code Assist Myth That Your Source Contains Every Decision

Gemini Code Assist can help you work through code, but the files cannot always explain the choices behind it. Keep a short decision record for the next session.

“Once Gemini Code Assist can inspect my code, it can figure out why I built it this way.” That belief is appealing when you want to move quickly and skip notes. Code can show what exists; it cannot reliably tell you which alternatives you rejected, what a user reported, or what you intended to test next.

The myth that Gemini Code Assist can infer every decision

The belief has a reasonable starting point. When an AI coding tool can inspect relevant files, it can identify patterns, trace a call, and propose a change based on the implementation it sees. That makes a fresh session feel less like starting over. You can ask a useful question without reciting the entire project history.

But a codebase is a record of what was implemented, not a complete record of intent. Imagine your app stores draft notes locally rather than sending them to a server. The files may show the storage choice. They do not establish whether you made it for privacy, speed of prototyping, or because syncing remains unfinished. A plausible explanation from the tool is still a guess unless you confirm it.

The practical consequence is subtle. You may ask for a new feature, accept a reasonable-looking refactor, and accidentally remove a constraint that mattered. The tool did not have that constraint in the code or your request.

Why the mistaken assumption slows a build

AI coding sessions reward forward motion. A tool can respond to the immediate task, and the next prompt can build on what just happened. After a few days away, however, your chat history may be difficult to scan, and a new session may begin without the reasoning you settled on last time.

Reopening the repo helps you recover implementation details. It does less for unanswered questions such as “Did we decide to keep drafts private?” or “Was this error message temporary?” When those questions remain implicit, you spend time rediscovering decisions or asking the tool to infer them. Neither is as reliable as a short note written when the choice was fresh.

Give the assistant a decision record it can use

Keep a small recovery note next to the work you want to continue. Write it for yourself first, then paste the relevant parts into your next request. A useful note names the current state, one important decision, and the next action:

  • Current state: The draft editor saves locally and survives a page reload.
  • Decision: Keep drafts on the device for this version; syncing is outside the current scope.
  • Next action: Test what happens when local storage is unavailable, then review the error state.

Now your request can be specific: “Add the unavailable-storage error state to the draft editor. Keep drafts local. Show me the changed files and how to test the failure path.” The note does not force a particular implementation. It gives the tool a constraint you can check in the diff.

Treat the result as code that needs review. Test the behavior yourself, especially if a change touches authentication, stored data, or destructive actions. A decision record preserves intent; it does not replace verification.

For a repeatable way to prepare and review your work, use this Gemini Code Assist setup checklist.

Test the distinction in your next session

Before asking for a change, pick one design choice in your project and ask yourself where its reason lives. If the answer is only “somewhere in the chat,” write a sentence about the choice and a sentence about what comes next. Then give the tool those sentences with your task and inspect whether its proposed changes respect them.

This is a small addition to a fast workflow. Keep your project decisions and next actions in VibeCrumbs so a future session can begin with the context your files cannot supply.