PPureDecimal
AI coding workspace

Lossless decimal serialization

A decimal string can carry information that a floating-point number discards. PureDecimal is a Windows AI coding workspace for following serialization boundaries, discussing an explicit format and reviewing a change that preserves the original digits.

● ● ●PureDecimal●
A concrete starting point · Lossless decimal serialization ×
function encodeDecimal(value: string): string {
  if (!/^[+-]?\d+(?:\.\d+)?$/.test(value)) {
    throw new Error("decimal.grammar");
  }
  return JSON.stringify({ decimal: value });
}
✳Serialize decimal strings into JSON without converting them through binary floating point.
✓ ChangesReview before applying ↗
Illustrative workspace
Project
Round-trip trailing zeros and very large values, rejecting exponent notation and non-finite names under an explicit grammar.
Review before applying
Compare actual behavior with the expected result. If a check fails, investigate it before applying more changes.
Connection
Base URL, credentials and a reachable server.
Workflows

Lossless decimal serialization

Workflows ↗
A concrete starting point
function encodeDecimal(value: string): string {
  if (!/^[+-]?\d+(?:\.\d+)?$/.test(value)) {
    throw new Error("decimal.grammar");
  }
  return JSON.stringify({ decimal: value });
}
AI coding workspace

Keep data meaning intact when code crosses a boundary

A value can survive a request and still lose information on the way. PureDecimal is Windows AI coding software for examining those boundaries with a connected model. Bring the producer, serialized payload and consuming code into one project conversation, then describe which parts of the value must remain unchanged before requesting a patch.

For a decimal export task, you might require the original digits to remain a string through JSON. Ask the assistant to inspect where conversion currently happens and how callers validate the result. Review a proposal that makes the accepted representation explicit, including whether signs and trailing zeros carry meaning for your application. This grounds the change in an actual data contract.

Check both directions after editing. A serializer that preserves digits is only part of the path if a later consumer immediately coerces the field to a number. Run your project’s round-trip tests and include rejected inputs alongside valid examples. Review error handling so invalid data does not quietly become a plausible default value.

Connect a supported OpenAI-compatible or Anthropic endpoint for assistance. If you select an abliterated AI model, its behavior and restrictions belong to that model and service. PureDecimal supplies the project workspace; context limits and tools depend on the connection, and your checks establish whether the contract holds.

Questions for a serialization review

Which files matter for a decimal export change?

Include the serializer, its validation and the code that reads the exported field. Add representative payloads with expected results. Reviewing only the writer can miss a consumer that converts the preserved string and loses information later.

Are trailing zeros always disposable?

That depends on the application’s contract. They may express a required representation even when the numeric magnitude is unchanged. State whether exact spelling or only mathematical value matters before asking the model to simplify the format.

How should invalid decimal text be handled?

Describe the rejection behavior required by the caller, including the error it should receive. Ask for accepted syntax to be explicit. Test empty text and unsupported forms rather than allowing a failed conversion to choose a default silently.

Does string serialization remove all numeric problems?

No. It preserves a representation only while the surrounding code respects it. Inspect later parsing and calculations, and use your existing numeric approach deliberately. The coding workspace does not certify arithmetic correctness merely because JSON contains a string.

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PureDecimal · Updated 2026-10-25