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Paul Gauthier 2024-05-24 07:26:14 -07:00
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_posts/2024-05-22-swe-bench-lite.md
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---
title: Aider scored SOTA 26.3% on SWE Bench Lite
excerpt: Aider scored 26.3% on SWE Bench Lite, achieving a state of the art result.
excerpt: Aider achieved this result mainly through its existing features that focus on static code analysis, reliable LLM code editing, and pragmatic UX for AI pair programming.
highlight_image: /assets/swe_bench_lite.jpg
draft: true
---
@ -20,11 +20,7 @@ The best result reported elsewhere seems to be
## Interactive, not agentic
Aider achieved this result mainly through its
existing features that
focus on static code analysis,
reliable LLM code editing,
and pragmatic UX for AI pair programming.
Aider achieved this result mainly through its existing features that focus on static code analysis, reliable LLM code editing, and pragmatic UX for AI pair programming.
Aider intentionally has quite limited and narrow "agentic behavior"
to avoid long delays, high token costs
and the need for users to repeatedly code review incorrect solutions.