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qodo-ai
qodo-cover
Python2024–2024
qodo-ai / qodo-cover

qodo-cover

Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! šŸ’»šŸ¤–šŸ§ŖšŸž

3Distinct people
4Mentions
0Explicit recommenders
5.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! šŸ’»šŸ¤–šŸ§ŖšŸž

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 Ā· 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 hour4 dated mentions

Observed mentions: 2024-05-21 15:44:06 UTC to 2024-05-22 08:27:44 UTC.

012024-05-21 15:00:00 UTC to 2024-05-21 16:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 21, 15:002024-05-21 16:00:00 UTC to 2024-05-21 17:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-05-21 17:00:00 UTC to 2024-05-21 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-21 18:00:00 UTC to 2024-05-21 19:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-21 19:00:00 UTC to 2024-05-21 20:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-05-21 20:00:00 UTC to 2024-05-21 21:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-21 21:00:00 UTC to 2024-05-21 22:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-21 22:00:00 UTC to 2024-05-21 23:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-21 23:00:00 UTC to 2024-05-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 21, 23:002024-05-22 00:00:00 UTC to 2024-05-22 01:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 01:00:00 UTC to 2024-05-22 02:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 02:00:00 UTC to 2024-05-22 03:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 03:00:00 UTC to 2024-05-22 04:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 04:00:00 UTC to 2024-05-22 05:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 05:00:00 UTC to 2024-05-22 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 06:00:00 UTC to 2024-05-22 07:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 07:00:00 UTC to 2024-05-22 08:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-22 08:00:00 UTC to 2024-05-22 09:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 22, 08:00

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
May 21, 15:002024-05-21 15:00:00 UTC2024-05-21 16:00:00 UTC101
May 21, 16:002024-05-21 16:00:00 UTC2024-05-21 17:00:00 UTC101
May 21, 17:002024-05-21 17:00:00 UTC2024-05-21 18:00:00 UTC000
May 21, 18:002024-05-21 18:00:00 UTC2024-05-21 19:00:00 UTC000
May 21, 19:002024-05-21 19:00:00 UTC2024-05-21 20:00:00 UTC101
May 21, 20:002024-05-21 20:00:00 UTC2024-05-21 21:00:00 UTC000
May 21, 21:002024-05-21 21:00:00 UTC2024-05-21 22:00:00 UTC000
May 21, 22:002024-05-21 22:00:00 UTC2024-05-21 23:00:00 UTC000
May 21, 23:002024-05-21 23:00:00 UTC2024-05-22 00:00:00 UTC000
May 22, 00:002024-05-22 00:00:00 UTC2024-05-22 01:00:00 UTC000
May 22, 01:002024-05-22 01:00:00 UTC2024-05-22 02:00:00 UTC000
May 22, 02:002024-05-22 02:00:00 UTC2024-05-22 03:00:00 UTC000
May 22, 03:002024-05-22 03:00:00 UTC2024-05-22 04:00:00 UTC000
May 22, 04:002024-05-22 04:00:00 UTC2024-05-22 05:00:00 UTC000
May 22, 05:002024-05-22 05:00:00 UTC2024-05-22 06:00:00 UTC000
May 22, 06:002024-05-22 06:00:00 UTC2024-05-22 07:00:00 UTC000
May 22, 07:002024-05-22 07:00:00 UTC2024-05-22 08:00:00 UTC000
May 22, 08:002024-05-22 08:00:00 UTC2024-05-22 09:00:00 UTC110

What Hacker News says

4 sources
Hey, co-creator here, I agree with the sentiment that code coverage may be a proxy and even sometimes a vanity metric but at the same time, IMO unit regression tests are necessary for a maintainable production codebase. I personally don’t feel confident making changes to production code that isn’t tested. Specifically for generating unit regression tests the Cover-Agent tool already works quite well in the wild for some projects, especially isolated projects (as opposed to complex enterprise-level code). You can see in the few (somewhat cherry-picked) examples we posted [0] that it generates working tests that increase coverage (they were cherry-picked in the sense that these are examples we like to work with often internally at CodiumAI). I believe that it’s possible to generate additional meaningful tests including end-to-end tests by c
Read the rest
reating a more sophisticated flow that uses prompting techniques like reflection on the code and existing tests, and generates the tests iteratively, feeding errors and failures back to the LLM to let it fix them. Just as an example. This is somewhat similar to the approach we used with AlphaCodium [1] which hit 54% on the CodeContests benchmark (DeepMind’s AlphaCode 2 hit 43% [2] with the equivalent amount of LLM calls). If like me you think tests are important but hate writing them, please consider contributing to the open source to help make it work better for more use cases. https://github.com/Codium-ai/cover-agent [0] https://www.youtube.com/@Codium-AI/videos [1] https://github.com/Codium-ai/AlphaCodium [2] https://storage.googleapis.com/deepmind-media/AlphaCode2/Alp...
In We created the first open source implementation of Meta's TestGen–LLM
Hey, one of the creators here. As mentioned in the post, TestGen-LLM (by Meta) focused on Kotlin, and the prompts were very Kotlin-oriented. In Cover-Agent (by CodiumAI) we tried to reimplement Meta's work, and stay mostly similar to the original implementation, although we did a bit improved the prompts. But it isn't generic enough. We believe we know how to improve generality, as we did with our PR-Agent, and here is a rough plan: https://github.com/Codium-ai/cover-agent/issues/13
In We created the first open source implementation of Meta's TestGen–LLM

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