Home · Business · IT, Data & Security · Software development

YES

As of 13 August 2026, AI can convert your code between programming languages.

This still needs a person who signs their name to it.

Can you do it?

15 minutesto a draft.

1 hourto something you’d act on.

Cost, all in£0

Skill neededdeveloper

Who has to check ita colleague

What the alternative costsThe tool data gives no price for a developer or code-conversion service.

If this goes wrong: the converted code passes a few obvious checks but changes behaviour in production, causing a defect, outage or security problem.

What to actually do

  1. Hand it to a person

    The route this page recommends

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  2. Use a tool built for this

    Second choice

  3. Do it yourself

    The distant third

    A chat interface, developer skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open the source repository and gather the relevant files, dependency manifest, runtime version, configuration requirements and existing tests, removing secrets and personal data before sharing anything.
    2. Run the existing test suite and save representative inputs, outputs, error cases and performance expectations so you have a baseline for comparison.
    3. Paste the source code, tests, runtime details and target requirements into an AI coding tool with the supplied prompt, asking it to identify assumptions before writing the translation.
    4. Create the converted files in a separate branch or directory, then install only the dependencies the tool has identified after checking each package against your organisation's approved sources.
    5. Run the original and converted implementations against the same normal, boundary and error-case inputs, and compare outputs, exit behaviour, logs and side effects.
    6. Ask a colleague familiar with both the source system and the target language to inspect the assumptions, authentication, data handling, error paths and any changed behaviour.
    7. Run the project's security, linting, type-checking and integration checks, fix failures in the branch, and deploy only through your normal review and rollback process.

    Prompt

    Convert the code below from [SOURCE LANGUAGE AND VERSION] to [TARGET LANGUAGE AND VERSION]. Preserve its behaviour, inputs, outputs, error handling and security properties. Use the target language's standard libraries and idioms where that does not change behaviour. Do not invent missing requirements, credentials, APIs or dependencies. First list assumptions, incompatibilities and features that need a manual decision. Then provide the converted code, a dependency and setup list, and tests that compare the source and converted implementations on normal, boundary and error cases. Explain every behaviour that could not be preserved exactly. Keep the existing public interfaces unless I explicitly ask you to change them. Source code: [PASTE SOURCE CODE]. Existing tests and example inputs and outputs: [PASTE THEM]. Runtime, build and deployment details: [PASTE THEM].

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot infer undocumented business rules that are absent from the source code and tests.
  • AI cannot guarantee that a library, runtime or concurrency model behaves equivalently in the target language.
  • AI cannot prove that the conversion preserves security properties, performance or data-handling obligations.
  • AI cannot take responsibility for a defect, outage or security incident after you deploy the result.
  • AI cannot replace a colleague who understands the system's production behaviour and unstated constraints.

Even on a YES, the friction has a name: verification cost, judgement under ambiguity and stakes of error.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability1
Effort delta2
Total8 / 10

The methodology and its thresholds are published in full.

FAQ

Can AI convert code from one programming language to another?
Yes. Current coding tools can produce a useful first conversion, especially when you provide the source, dependencies, runtime details and tests. You still need to run equivalent tests and have a developer check behaviour that the source does not document.
Can AI translate code without changing how it works?
It can aim to preserve behaviour, but it cannot guarantee it. Differences in libraries, types, concurrency, error handling and defaults can change results, so compare the two implementations with the same inputs and inspect the edge cases.
What AI tool converts code between languages?
Cursor is a purpose-built AI code editor that can work across a repository rather than only translating an isolated snippet. A free chat interface can also draft a conversion, but repository context, tests and dependency details are still needed.
How do I check AI-converted code?
Run the original and converted versions against the same normal, boundary and error-case inputs, then compare outputs, side effects, logs and performance where it matters. Have a colleague check security, dependencies, error paths and undocumented business rules before deployment.

Nearby answers

All Software development rulings

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

The newsletter

AI news, new answers and product picks, straight to your inbox.