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logic-star-ai
insights
TypeScript2025–2025
logic-star-ai / insights

insights

We track and analyze the activity and performance of autonomous code agents in the wild

2Distinct people
2Mentions
0Explicit recommenders
52GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

We track and analyze the activity and performance of autonomous code agents in the wild

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, 5:04:57 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 hour2 dated mentions

Observed mentions: 2025-07-08 11:27:45 UTC to 2025-07-08 15:54:05 UTC.

012025-07-08 11:00:00 UTC to 2025-07-08 12:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJul 8, 11:002025-07-08 12:00:00 UTC to 2025-07-08 13:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-08 13:00:00 UTC to 2025-07-08 14:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 8, 13:002025-07-08 14:00:00 UTC to 2025-07-08 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-08 15:00:00 UTC to 2025-07-08 16:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJul 8, 15:00

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
Jul 8, 11:002025-07-08 11:00:00 UTC2025-07-08 12:00:00 UTC110
Jul 8, 12:002025-07-08 12:00:00 UTC2025-07-08 13:00:00 UTC000
Jul 8, 13:002025-07-08 13:00:00 UTC2025-07-08 14:00:00 UTC000
Jul 8, 14:002025-07-08 14:00:00 UTC2025-07-08 15:00:00 UTC000
Jul 8, 15:002025-07-08 15:00:00 UTC2025-07-08 16:00:00 UTC110

What Hacker News says

2 sources
mnmueller·Jul 8, 2025Submission

Show HN: Dashboard tracking all GitHub PRs and analyzing Code Agent activity

Hi HN, We are researchers from ETH Zurich interested in the real-world adoption and impact of Code Agents. To measure this, we built a dashboard, scraping all public PRs on GitHub, analyzing which are created by different code agents (Codex, Jules, Copilot, Devin, etc.), and measuring their merge rates, sliced by various repository and PR characteristics. https://insights.logicstar.ai Since mid-May, we've analyzed over 10 million PRs and already found some interesting trends: Usage is high, but shallow. Agents submit ~7% of all PRs overall, but only ~1–2% on popular repos. Most activity is in low-star or experimental projects. Merge rates vary drastically. On low-traffic repos, some agents get 90%+ of their PRs merged. On popular projects, that can drop to <25%. Pre-review helps. Agents that require human-in-the-loop review (e.g., Jules,
Read the rest
Codex) have 30–50% higher merge rates than Copilot-style fire-and-forget PRs. Bias toward new code. Agent PRs mostly add code. Refactorings and deletions are rare. If you have ideas for what other characteristics we should look at let us know or play with the code yourself
10 points · Open discussion

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