Melvin Vivas (@donvito) 's Twitter Profile
Melvin Vivas

@donvito

Building apps with AI 🚀
Learn AI Community 📚 dub.sh/aihub
Launched 📸 aidreamphoto.com
Book a call 📞 cal.com/donvitocodes
youtube.com/donvitocodes

ID: 7974112

linkhttps://donvitocodes.com calendar_today05-08-2007 15:50:16

14,14K Tweet

11,11K Followers

126 Following

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Was curious about the new Windsurf update This new feature called DeepWiki which was originally a Devin feature caught my attention Definitely useful for coding and using it for context

Was curious about the new Windsurf update

This new feature called DeepWiki which was originally a Devin feature caught my attention

Definitely useful for coding and using it for context
Melvin Vivas (@donvito) 's Twitter Profile Photo

I needed to do a simple test app with AI Backends and see how the APIs perform So I asked Warp and Claude Code to make me a Go app which calls the Summarization API multiple times and save results into a csv file Here are my comparisons: - Claude Code finished

I needed to do a simple test app with <a href="/aibackends/">AI Backends</a> and see how the APIs perform

So I asked <a href="/warpdotdev/">Warp</a> and Claude Code to make me a <a href="/golang/">Go</a> app which calls the Summarization API multiple times and save results into a csv file

Here are my comparisons:

- Claude Code finished
Melvin Vivas (@donvito) 's Twitter Profile Photo

I stopped using GPT-5-High-Fast in Cursor It just thinks too much and ruins the vibes I'm back to using GPT-5-Fast; it suits me better

Melvin Vivas (@donvito) 's Twitter Profile Photo

GPT 5 updates existing files and is better following your code structure Sonnet/Opus tends to create new files when it is confused

Melvin Vivas (@donvito) 's Twitter Profile Photo

Gemma 3 4B results, a decent small model for summarizing conversations Will do more testing with a larger dataset Performance Metrics: • Total Processing Time: 3.37 minutes (202 seconds) • Processing Rate: ~30 records per minute • Average Time per Record: 2.02 seconds •

Gemma 3 4B results, a decent small model for summarizing conversations

Will do more testing with a larger dataset

Performance Metrics:
•  Total Processing Time: 3.37 minutes (202 seconds)
•  Processing Rate: ~30 records per minute
•  Average Time per Record: 2.02 seconds
•