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Route the code problem to a model built for the job.

AINA detects software work and can select a compatible eligible model, while still allowing manual choice across the live plan catalogue.

01

Useful coding tasks

Provide the language, runtime, expected behaviour, exact error, relevant code, and constraints.

  • Debugging
  • Code explanation
  • Architecture review
  • Test design
02

Capability-aware routing

Code signals can guide Smart Select toward an eligible high-quality model with sufficient context, tool support, and current route health.

  • Task-fit selection
  • Structured output support
  • Fallback to capable models
  • No unfinished product claim
03

Run and review the result

AI-generated code can be insecure or wrong. Test it, inspect dependencies, and review changes before deployment.

  • Security review
  • Automated tests
  • Dependency checks
  • Human approval

Try the workflow in AINA.

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