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smallcloudai
refact-bench
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smallcloudai / refact-bench · Archived

refact-bench

A benchmarking tool for evaluating AI coding assistants on real-world software engineering tasks from the SWE-Bench dataset.

2Distinct people
2Mentions
0Explicit recommenders
61GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A benchmarking tool for evaluating AI coding assistants on real-world software engineering tasks from the SWE-Bench dataset.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2025-05-22 10:26:24 UTC to 2025-08-12 11:17:54 UTC. Weeks start Monday, UTC.

012025-05-19 00:00:00 UTC to 2025-05-26 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 192025-05-26 00:00:00 UTC to 2025-06-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-02 00:00:00 UTC to 2025-06-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-09 00:00:00 UTC to 2025-06-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-16 00:00:00 UTC to 2025-06-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-23 00:00:00 UTC to 2025-06-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-30 00:00:00 UTC to 2025-07-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 302025-07-07 00:00:00 UTC to 2025-07-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-14 00:00:00 UTC to 2025-07-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-21 00:00:00 UTC to 2025-07-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-28 00:00:00 UTC to 2025-08-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-04 00:00:00 UTC to 2025-08-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-11 00:00:00 UTC to 2025-08-18 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 11

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 192025-05-19 00:00:00 UTC2025-05-26 00:00:00 UTC101
May 262025-05-26 00:00:00 UTC2025-06-02 00:00:00 UTC000
Jun 22025-06-02 00:00:00 UTC2025-06-09 00:00:00 UTC000
Jun 92025-06-09 00:00:00 UTC2025-06-16 00:00:00 UTC000
Jun 162025-06-16 00:00:00 UTC2025-06-23 00:00:00 UTC000
Jun 232025-06-23 00:00:00 UTC2025-06-30 00:00:00 UTC000
Jun 302025-06-30 00:00:00 UTC2025-07-07 00:00:00 UTC000
Jul 72025-07-07 00:00:00 UTC2025-07-14 00:00:00 UTC000
Jul 142025-07-14 00:00:00 UTC2025-07-21 00:00:00 UTC000
Jul 212025-07-21 00:00:00 UTC2025-07-28 00:00:00 UTC000
Jul 282025-07-28 00:00:00 UTC2025-08-04 00:00:00 UTC000
Aug 42025-08-04 00:00:00 UTC2025-08-11 00:00:00 UTC000
Aug 112025-08-11 00:00:00 UTC2025-08-18 00:00:00 UTC101

What Hacker News says

2 sources
I’ve been running a bunch of coding agents on benchmarks recently as part of consulting, and this is actually much more impressive than it seems at first glance. 71.2% puts it at 5th, which is 4 points below the leader (four points is a lot) and just over 1% lower than Anthropic’s own submission for Claude Sonnet 4 - the same model these guys are running. But the top rated submissions aren’t running production products. They generally have extensive scaffolding or harnesses that were built *specifically for SWE bench*, which kind of defeats the whole purpose of the benchmark. Take for example Refact which is at #2 with 74.4%, they built a 2k lines of code framework around their agent specifically for SWE bench (https://github.com/smallcloudai/refact-bench/). It’s pretty elaborate, orchestrating multiple agents, with a debug agent that kic
Read the rest
ks in if the main agent fails. The debug agent analyzes the failure and gives insights to the main agent which tries again, so it’s effectively multiple attempts per problem. If the results can be reproduced “out-of-the-box” with their coding agent like they claim, it puts it up there as one of the top 2-3 CLI agents available right now.
In Qodo CLI agent scores 71.2% on SWE-bench Verified

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