OrvixCode detects requests that clearly require large output even when the prompt is short. This is not limited to Python; long-code tasks are supported across HTML/CSS/JavaScript/TypeScript, Go, Rust, PHP, Ruby, Java/Kotlin, C/C++/C#, Swift, Dart, Lua, Scala, Elixir, F#, Solidity, Bash, PowerShell, SQL, and more.

Long output and continuation

  • Local models can use a larger output budget when appropriate.
  • If a response is cut by a token/context limit, OrvixCode can request continuation from the missing point.
  • Repeated overlap is cleaned when continuation chunks are merged.
  • Content from an unfinished fenced code block can still be preserved as code.

Large-project planning

  1. The request is analyzed and a project structure is planned.
  2. A manifest/file plan is created.
  3. Files are generated while dependencies and contracts are tracked.
  4. If imports reveal a missing local module, the plan can be expanded.
  5. Generation continues when output limits are reached.
  6. Basic consistency checks run at the end.
Chat stays visibleGenerated code remains in chat; OrvixCode does not automatically switch to the Code page when generation finishes. Use Open in Code manually when you want to move it into the editor.
Model capacityOrvixCode manages planning and continuation, but code quality and usable context still depend on the selected model and hardware.