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Code model · Fast-moving · Intermediate

Code models

Language models specialised for programming, trained heavily on source code and tuned for completion, editing and repository-level tasks.

What Code models is

Code models support fill-in-the-middle completion, repository context, test generation and agentic multi-file edits. Both closed frontier models and open-weight code models are in wide production use.

How it works

They are pretrained on public code and post-trained with execution feedback and instruction data. Serving is optimised for very low latency in inline completion.

Why it matters

Code is the highest-adoption professional use of generative AI, and dedicated models remain competitive with general models at far lower cost.

Common uses

  • Inline completion in editors
  • Test and documentation generation
  • Refactoring and migration
  • Coding agents

Strengths

  • Low latency
  • Repository-aware context
  • Open options for private codebases

Watch for

  • Generates plausible but wrong logic
  • May reproduce insecure patterns

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