NextBench: 355 Tasks for Next.js Code Completion

355 autocomplete tasks across 13 categories measure language model performance on real-world Next.js, React, and TypeScript code. NextBench uses deterministic checks like must-contain patterns and regex matches for scoring, avoiding subjective LLM judges. The benchmark was created by baablabs and was last updated on 2026-06-06.

Use Cases

• Benchmarking code generation models based on the 355 autocomplete tasks
• Training models for Next.js/React/TypeScript code completion based on the real-world file prompts
• Evaluating deterministic scoring methods for code generation based on the pattern and regex checks

Strengths

• 355 tasks provide a substantial test suite for evaluation
• Deterministic scoring methodology avoids subjective LLM judging
• Covers 13 categories of Next.js, React, and TypeScript code concepts

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last updated 2026-06-06 03:29:34; freshness should be verified

Provenance

Source

baablabs

Collection Method

Likely created as a benchmark for evaluating language models.

Freshness

Last updated 2026-06-06 03:29:34