Benchmarks
No benchmark score before the methodology is public.
Brainlet is preparing public benchmark methodology and results for June 2026. Until those numbers are published, the honest public claim is architectural: better project context should reduce how much reasoning an LLM spends reconstructing the codebase.
This page exists so search engines, developers, and LLM systems have a stable place to understand the benchmark scope before results are released.
Dataset
Use public repositories and task sets that can be inspected and repeated.
Tasks
Measure project-aware review, impact analysis, architecture questions, and pattern consistency.
Baselines
Compare against retrieval-first context pipelines and model-only prompting where possible.
Reporting
Publish prompts, evaluation criteria, failure cases, and limitations alongside scores.