Viewing profile — dakshgupta
dakshgupta
HN member- Joined
- Wed, May 18, 2022, 12:42 AM UTC
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About dakshgupta
Recent public activity
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Comment #48662700
Apart from the job-related stuff others have already said, there is a bit of novelty/bragging rights in landing a PR into a major open source project.
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Comment #48576552
Not yet - but we want to do this. Similarly true for the ephemeral unit tests that greptile writes.
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Comment #46776408
The signal-to-noise ratio problem is unexpectedly difficult. We wrote about our approach to it some time ago here - https://www.greptile.com/blog/make-llms-shut-up Much has changed…
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Comment #46769906
Thanks! We go over that on many other pages. Here are some: https://www.greptile.com/benchmarks https://www.greptile.com/greptile-vs-coderabbit https://www.greptile.com/greptile-vs…
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Comment #46769868
I agree that none perform _super_ well. I would argue they go far beyond linters now, which was perhaps not true even nine months ago. To the degree you consider this to be evidenc…
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Comment #46769760
2. There is plenty of evidence for this elsewhere on the site, and we do encourage people to try it because like with a lot of AI tools, YMMV. You're totally right that PR reviews …
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Comment #46769696
> Independence It is, but when a model/harness/tools/system prompts are the same/similar in the generator and reviewer fail in similar ways. Question: Would you trust a Cursor revi…
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Comment #46307025
We have ways to approximate our impact on code quality, because we track: - Change in number of revisions made between open and merge before vs. after greptile - Percentage of grep…
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Comment #46305980
Apologies, that is poor wording on our part. It's internal data from engineers that use Greptile, which are tens of thousands of people from a variety of industries. As opposed to …
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Comment #46305881
Most of our customers are enterprises, so I feel relatively comfortable assuming they have some decent testing and QA in place. Perhaps I am too optimistic?
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Comment #46305871
Thanks! The first 4 charts as well as Chart 2.3 are all from our data!
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Comment #46305731
This is a good one, wish we had included it. I'd run some analysis on this a while ago and it was pretty interesting. An interesting subtrend is that Devin and other full async age…
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Comment #46305709
How would you measure code quality? Would persistence be a good measure?
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Comment #46305699
This is a great suggestion. I'll note it down for next years. Curious, do you think this would be a good proxy for code quality?
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Comment #46305425
This is per month, I see now that's not super clear on the chart!
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Comment #46305411
We're careful not to draw any conclusions from LoC. The fact is LoCs are higher, which by itself is interesting. This could be a good or bad thing depending on code quality, which …
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Comment #46305093
We weren’t able to find a good quality measure. LLM-as-judge dint feel right. You’re correct that without that the data is interesting but not particular insightful.
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Comment #46305082
We weren’t able to agree on a good way to measure this. Curious - what’s your opinion on code churn as a metric? If code simply persists over some number of months, is that indicat…