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Code

A code assistant on Jalaran’s own servers that generates, completes and reviews code in five languages.

Jalaran Code generates, completes and reviews code across Python, TypeScript, JavaScript, SQL and Bash on Jalaran’s own servers, so proprietary source never goes to a third-party AI service.

Who Code is for

For developers who would rather their source did not go to a commercial AI provider or become someone else’s training data: Jalaran runs the model on its own servers and never trains on your code. If a policy or contract forbids sending source to any outside service, that includes Jalaran.

What Code does

Code runs on Jalaran’s own hardware, which is the reason to use it: proprietary or client code can be reviewed without going to a third-party AI service. Three modes cover the real workflow: generate from a description, complete existing code, and review with structured findings at explicit severity levels rather than a wall of undifferentiated suggestions. Prompts are tailored per language, because idiomatic SQL and idiomatic Bash have almost nothing in common.

  • Generate, complete and review modes
  • Five languages with per-language prompts
  • Structured review with severity levels
  • Self-hosted, so code never goes to a third-party AI service

How Code works

  1. Pick the language

    Python, TypeScript, JavaScript, SQL or Bash. Prompts are tailored per language rather than shared.

  2. Generate, complete or review

    Write from a description, finish existing code, or get a structured review of what you have.

  3. Read the review by severity

    Findings at explicit levels, so a real bug is not buried among style preferences.

  4. Verify before you ship

    Generated code is a draft. Read it and test it: plausible and wrong is the characteristic failure.

What Code does not do

Code sees what you paste. It does not read your repository, follow imports, understand your architecture or run anything, so a review covers the snippet and not its context, which is where a lot of real bugs live. It covers five languages and no C or C++; embedded firmware is Embed, which carries hardware constraints a general assistant gets actively wrong. Always read generated code before shipping it.

Common questions

Does my code get sent to an external API?
No. Inference runs on Jalaran’s own hardware, which is the whole reason the module exists. Proprietary and client code can be reviewed without going to a third-party AI service.
Can it see my whole codebase?
No. It works on what you paste: no repository access, no import following, no architectural context. That is a real limitation for reviews, since plenty of bugs live in the interaction rather than the snippet.
Does it handle C or C++?
No. Its five languages include neither. For Arduino/C++ and MicroPython, Embed is the module, and it carries hardware constraints a general assistant answers wrongly.

All modules in Coding

  • Structured debugging with hypothesis tracking.

  • Test

    New

    Unit, plan, matrix, and regression test generation.

  • Check a Postgres or Supabase schema for missing RLS, indexes and owner scoping.

  • Firmware help for Arduino/C++ and MicroPython that knows the memory budget.

Ready when you are.

Works in your browser and installs on your phone.

Try Code freeOpen Code