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s/o to @vercel v0
i got this up in running this weekend.
still more to go.
but the basics are there.
no fancy video just vibez.
meal-plan-vibez.vercel.app
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Stefanie Davis
257 posts
Stefanie Davis
@steflikecurry
Data & AI Consultant guadmire @_buildspace ex. data @nike @amazon @Teradata
Katılım Haziran 2024
668 Takip Edilen72 Takipçiler
Stefanie Davis retweetledi
Accidentally put .lower() on a SQL query while live coding. Time to call it a day 😴
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@iamKierraD Yep. Reminds me of this role I just saw engineers + marketing:
stripe.com/jobs/listing/f…
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Posted a video on the reason why we’re seeing engineering pervade into non-technical business functions(marketing, product marketing, etc).
There’s a bigger reason for Growth Engineer, Forward Deployed Engineers, Sales Engineers, etc becoming a thing
instagram.com/reel/DX-8J4RPa…
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Stefanie Davis retweetledi
here’s how I created this with Veo 3.1 in just 2 steps 👇
Salma@Salmaaboukarr
finally got round to testing veo 3.1.... and the new frame to frame and extend feature is insane!
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Stefanie Davis retweetledi
Learn how to use Cursor Agent with 10 tips:
1. Plan mode
2. Context menu
3. Custom commands
4. Images
5. Duplicating chats
6. Context visibility
7. Usage visibility
8. Keyboard shortcuts
9. New chats
10. Checkpoints
And an extra bonus round!
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Stefanie Davis retweetledi
Ready to learn how to build and deploy your own AI agents?
Join the 5-Day AI Agents Intensive Course with Google, happening November 10-14 — a no-cost, hands-on deep dive designed by Google researchers and engineers.
Learn more 👇rsvp.withgoogle.com/events/google-…
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Stefanie Davis retweetledi
While I working on keeping bears out of my garbage, my new free AWS CloudOps Engineer Associate study course has dropped on @freeCodeCamp.
Next will be the GenAI Digital Leader.
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Stefanie Davis retweetledi
We’re running a “Built with Claude Sonnet 4.5” challenge.
We want to see the coolest things you can build with 4.5 in the next week.
Four winners will receive one year of Claude Max 20x and $1k in Claude API credits.
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Stefanie Davis retweetledi
Revisiting Spark.
So, I put the whole book into @NotebookLM .
Now I have a solid mind map I can drill into plus the other features. This really helps build a mental model and brush up on the fundamentals.
Plus chatting with the "podcast hosts" in interactive mode.
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This is that one!
Be an outlier.
Mark Techson@marktechson
Not feeling like the odds are working in your favor today? Check this one out
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For everyone interested in AI Engineering scholarships are available!
This is his last bootcamp and the reviews have been great so far.
Even the 🐐 @chipro was involved.
Zach Wilson@EcZachly
We are aiming to provide need-based scholarships and partial scholarships to students who need it most for the AI Engineering Boot Camp that starts October 20th! If any of these apply to you, you might be a fit for scholarship: - recently laid off - struggling to find a job after graduating - studying in undergraduate university Apply here: dataexpert.io/scholarships
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Stefanie Davis retweetledi
Stefanie Davis retweetledi
From MVPs on the court 🏀 to a sold-out launch online @Reebok & @Reese10Angel showed us how to ship sneakers like we ship software.
The Angel Reese 1 is a masterclass in Agile: iterate fast, co-create w/ customers, and scale w/ confidence.
Read: careerrehab.substack.com/p/ship-like-an…
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@KanikaTolver 🔥🔥🔥 . I'll reach out and see if there's any openings. If not, at least make a connection.
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@steflikecurry Send them this careerrehab.substack.com/p/ship-like-an…
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Maybe I will become a Product Manager for a Sneaker Brand one day.
Remember this tweet.
Sneakers have always been my passion.
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@steflikecurry You can check more on Google' SRE handbook, But I got it from a course I took on udemy
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The 20 percent that makes 80 percent of software monitoring revolves around understanding:
1. Request oriented Monioring (RED):
R = Rate, E = Error, D = Duration or Latency
2. Resource oriented Monitoring (USE):
U = utilization of resource
S= Satturation
E = Error rate
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You can run GPT-5 natively in @databricks.
This should solve the privacy issue with access to big data.
Plus, the processing power of Spark and Agentic AI will be powerful.
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