Skip to content
EN
English 简体中文 soon 日本語 soon
AI coding tools

aiCode.fail

Second check on AI-written code

Visit official site
Tags Developer tools AI coding AI code assistant AI code review AI security

What aiCode.fail is

aiCode.fail is a checker for AI-written code. You paste the original prompt and the generated code, and it analyses the result for invented APIs, wrong dependencies, dangerous patterns and quality problems.

A trial period is described, with paid plans above it.

What you can do with it

  • Check whether generated code invents APIs or packages
  • Look for dangerous permissions and missing checks
  • Compare the output against what you asked for
  • Screen a diff before committing

Who it is for

  • Developers using AI coding assistants daily
  • Tech leads reviewing AI drafts
  • Teams worried about hallucinated dependencies

What to watch out for

  • It cannot replace unit tests, static analysis or human review
  • Findings are advisory; dependency versions and project context still decide
  • Sending code and prompts to a cloud function means deciding what may leave your environment
  • A clean report is not proof the code is correct

Pros & cons

✓ What we like

  • Targets the failure modes of generated code
  • Prompt comparison catches off-target output
  • Quick pre-commit screen

! What to watch out for

  • Not a substitute for tests
  • Code leaves your environment
  • Findings need interpretation

FAQ

What does it check?

Hallucinations, security issues and code quality in AI-generated code.

Can it replace testing?

No. Tests, linting, type checks and review are still required.

What input does it need?

The original prompt and the generated code, so it can judge whether the result matches.

Last reviewed: 2026-09-17

More AI coding tools tools

View all →

How we review