{
  "id": 15885267,
  "title": "A 5-step checklist I use before accepting AI-written code",
  "url": "https://urgent.news/2026/10/21/a-5-step-checklist-i-use-before-accepting-ai-written-code",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-21T12:21:49.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/vijay_mishra_14dd027a16ee/a-5-step-checklist-i-use-before-accepting-ai-written-code-220h"
  },
  "original_language": "en",
  "account": "When incorporating AI-generated code into your projects, it's crucial to verify its correctness and suitability before integration. Here's a concise checklist I follow to ensure the code is reliable and understandable:\n\n1. **Thoroughly Review Each Line**: Treat the AI-written code as a new pull request from a fellow developer. Read every line carefully and consider whether you could explain it to someone else. This step ensures comprehension and reduces the risk of misunderstandings.\n\n2. **Request Small Changes**: If possible, ask for minimal modifications. A small diff is easier to review and understand, while a large rewrite might hide potential issues. Favor incremental updates that focus on one function or fix at a time.\n\n3. **Test with Edge Cases**: Execute the code with awkward scenarios such as empty inputs, incorrect data types, or very large inputs. This helps identify and address potential bugs or weaknesses that may not be apparent in typical usage cases.\n\n4. **Verify Functionality and Options**: Cross-check the functions and options mentioned in the code against the official documentation. Confirm that all referenced elements truly exist and behave as expected. This step ensures the AI-generated code aligns with best practices and standards.\n\n5. **Commit Frequently and Small**: Regularly commit your changes, even if they are minor. Small commits facilitate easy rollback in case an AI-suggested change proves problematic. This approach allows you to maintain a clean history of your project and swiftly revert to a stable state if needed.\n\nBy adhering to this checklist, I can confidently integrate AI-generated code into my projects while minimizing the risk of introducing errors or confusion. It's a practice that not only saves time but also ensures the codebase remains transparent and manageable.",
  "summary": "AI assistants can write code in seconds, but speed only helps if you can trust what lands in your project. Here is the short checklist I run through every time. Read it like a pull request from a new teammate. Don't paste and move on. Read every line and ask whether you could explain it to someone else. Ask for the smallest change. A small diff is easy to review. A big rewrite hides problems, so…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "The New Stack",
        "title": "Scripted tests can’t keep up with AI-written code. Datadog is betting agents can.",
        "url": "https://urgent.news/2026/10/20/scripted-tests-cant-keep-up-with-ai-written-code-datadog-is-betting",
        "published": "2026-10-20T16:49:53.000Z"
      }
    ]
  },
  "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."
}