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Brian Bethencourt for The DEV Team

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Top 7 Featured DEV Posts from the Past Week

Every Tuesday we round up the previous week's top posts based on traffic, engagement, and a hint of editorial curation. The typical week starts on Monday and ends on Sunday, but don't worry, we take into account posts that are published later in the week.

How to Come Back From Burnout

Burnout is tough. It’s easy to build a pattern of avoidance around what you’re burnt out on. This unhealthy relationship only makes work harder, so take these tips from @hb to bounce back easier than ever before.

From Idea to Design for Non-Designers

Your apps are functional, but they’re eye-meltingly plain. Familiar story? Here are some practical tips from @abbeyperini on how to get from your idea to minimum styling without knowing anything about design.

The Key to Completing Projects: Mastering the Art of Planning 🗝️

Your projects are left unfinished not because of your technical abilities, but because you haven't learned how to plan properly. It’s time to silence that inner critic with some tips from @jimmymcbride.

How I Built an Event Ticketing System With Next.js and Firebase

After excessive procrastination, @arshadayvid decided to improve his developer portfolio by building real-world projects that stand out from the job-hunting pool. Then, he came up with an idea, an event ticketing system.

Better Blogging on With Vrite – Headless CMS for Technical Content

With technical writing becoming increasingly popular, it’s interesting that the tooling in this niche is still lacking. That’s why @areknawo built Vrite, a new kind of headless CMS meant specifically for technical writing while still keeping the needs of developers in mind.

React Reconciliation: How It Works and Why Should We Care

You might think you know everything about how React renders components, but the universe will find a way to surprise you. Let’s take apart the mini-mystery of how React renders components conditionally with @adevnadia.

Chat With Your CSV: Visualize Your Data With Langchain and Streamlit

Large language models (LLMs) have become increasingly powerful and capable. In this example, @ngonidzashe shows you how to use Langchain to analyze CSV files. You can upload a CSV file and ask questions about the data. The system will then generate answers, even going as far as drawing tables and graphs.

That's it for our weekly Top 7 for this Tuesday! Keep an eye on this week for daily content and discussions...and be sure to keep an eye on this series in the future. You might just be in it!

Top comments (8)

arshadayvid profile image
David Asaolu

Wow! 🔥💪
Glad, I made it to the list.
Thanks for the recognition.😊

rachelfazio profile image
Rachel Fazio

YAY! I loved the articles this week. Great picks Brian!

abbeyperini profile image
Abbey Perini

Thanks, Brian! 💙

areknawo profile image
Arek Nawo

Didn't expect to make it to the list. Thanks! Really happy with the positive reception to Vrite from the DEV community. 🤗

hb profile image
Henry Boisdequin

Thank you so much for adding me onto the list! There are some great articles here.

erinposting profile image
Erin Bensinger
tobezhanabi profile image


madzimai profile image

Keep on guys