ModelRefs / Code Completion — AI Glossary

Code Completion — AI Glossary

Real-time suggestions of the next token, line, or function body as a developer types, integrated into IDEs. Also called autocomplete or code autocomplete.

Overview

Code completion is the core feature of AI coding assistants (GitHub Copilot, Codeium, Tabnine). Powered by code-specialized LLMs (StarCoder2, DeepSeek-Coder, Claude, GPT-4o) using FIM (fill-in-the-middle) for infilling. Latency target: <200ms for token-level, <1s for multi-line. Evaluated by acceptance rate and downstream developer productivity.

Reference details

Topicapplications
Also known asautocomplete, code autocomplete
Last reviewed2026-06-24

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Code Completion — AI Glossary.

Frequently asked questions

What is Code Completion?

Real-time suggestions of the next token, line, or function body as a developer types, integrated into IDEs.

Is Code Completion the same as autocomplete?

Yes — autocomplete, code autocomplete are common aliases for Code Completion.

What concepts are related to Code Completion?

Closely related concepts include fim, code generation, coding assistant.