Code Completion

Code completion scenarios are extremely sensitive to first-token latency, which differs from the optimization goals of batch code generation tasks.

Code completion and repository-level code understanding are capabilities of two different orders of magnitude: the former relies on local syntax patterns and common API calling habits, while the latter requires building cross-file symbol indexes, tracing function call chains, and identifying module dependencies.

Code completion is a speed-enhancement feature that may be replaced by intent-driven Agent interactions.

In actual programming assistance scenarios, simple code completion requests (such as variable naming, function signatures, and common pattern application) may account for as much as 70%–80% of the total.