{
  "id": 6080965,
  "title": "Safe AI Bug Fixes That Preserve Working Code",
  "url": "https://urgent.news/2026/09/07/safe-ai-bug-fixes-that-preserve-working-code",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-07T01:08:10.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/xiaobei/safe-ai-bug-fixes-that-preserve-working-code-4pi9"
  },
  "original_language": "en",
  "account": "You have discovered a small issue within your code, such as a button not responding on mobile, an incorrect calculation, or a notification that appears twice. It is understandable to have concerns about using an AI coding assistant to fix these problems, as there is a valid worry that the solution might inadvertently cause other issues. It is important to remember that while AI tools are powerful, they do not always have a complete understanding of the entire codebase. The positive news is that by following a few simple practices, you can use AI to resolve minor bugs with confidence while ensuring the rest of your code remains unaffected.\n\nThis guide provides a step-by-step method that anyone can use, regardless of whether you are working on a personal project, maintaining a small application, or simply aiming to keep your code functioning smoothly. The major concern with AI-generated fixes is the lack of context they may have. When you request changes, the AI reads the specific code you provide and can miss important information about how different parts of the application interact. A typical situation arises when you ask the AI to resolve a validation error in a form. The AI may modify the validation code, but this could lead to a problem on another form that shares the same validation function, as the AI was unaware of this shared dependency. The risk does not lie in the AI intentionally providing incorrect suggestions; rather, it stems from the AI's reliance on incomplete information when we are pressed for time and fail to provide the necessary context.\n\nBefore opening the AI tool, take a moment to clearly articulate the bug. Define exactly what is not working as intended, the desired behavior, and where the problem occurs. For instance, instead of saying \"the form is broken,\" specify \"the email field accepts invalid addresses that lack the '@' symbol.\" Similarly, replace \"the app crashes sometimes\" with \"the app crashes when I click Save on an empty form.\" Providing a precise description helps the AI understand the issue without prompting it to modify unrelated code.\n\nEnsure that the AI has access to all relevant files for the bug you are addressing. If the issue involves multiple files, such as a shared function and a helper function, provide access to both. When copying code into the AI chat, include both the function with the bug and any related functions it depends on. For example, if a button handler calls a validation function, share both the button handler and the validation logic. You do not need to upload your entire codebase; instead, include the immediate surrounding functions or modules that are connected to the broken section. Additionally, provide explanations for the changes you expect the AI to make. By asking the AI to explain its reasoning, you can identify potential issues early on. If the AI suggests changes that seem too broad or mention functions you did not anticipate, clarify the situation before the AI begins making modifications. This extra step takes only a minute but is crucial in ensuring the AI is on the right track.\n\nChoose small, isolated changes to minimize the risk of unintended side effects. When describing the bug, emphasize the need for a minimal fix. Use prompts like \"Fix the validation bug in the email field without altering the rest of the form\" or \"Update the rounding logic in calculateTotal, but leave the rest of the calculation unchanged.\" If the AI proposes a larger rewrite, such as renaming variables or restructuring files, evaluate whether such changes are truly necessary. While refactoring can be beneficial when time allows for thorough testing, when you simply need a working fix, opt for the smallest change that resolves the problem. Be aware that some code may be shared across multiple parts of your application, which can introduce ripple effects if you make changes to a shared function or helper. Before applying a fix, scan for any shared code. If the bug is in a function like `formatDate`, search your project for other instances that use this function. If you are addressing a styling issue, check if the same style name appears in other style files or areas of your application. You can ask the AI to assist with this search, such as \"Search the project for all places that use the `formatDate` function\" or \"List every part of the app that imports this validation helper.\" If the AI identifies multiple references, consider whether the fix may impact these areas. Decide whether to adjust the fix, update the affected areas, or create a tailored version of the shared code for the specific case. Finally, after receiving a suggestion from the AI, conduct real-world testing to verify the effectiveness of the fix. Test the code in the actual app under the same conditions that originally caused the bug. For example, if the bug occurred on mobile devices, test it on a phone or within a narrow browser window. If the issue arose when submitting an empty form, attempt the same action with an empty form. If it happened after logging out and back in, perform that login and logout process. Additionally, test any surrounding features. If you resolved an issue with the login form, try creating a new user account. If you fixed a calculation problem, perform further calculations to ensure the fix works as intended. By following these guidelines, you can use AI coding assistants to fix small bugs confidently while safeguarding the integrity of the rest of your codebase.",
  "summary": "You've found the bug. It's small—maybe a button that doesn't respond on mobile, a total that rounds the wrong way, or a notification that fires twice. You know an AI coding assistant can probably fix it in seconds, but there's a nagging worry: what if the fix breaks something else? That worry is legitimate. AI tools are powerful, but they don't always see the full picture. A careless prompt can…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}