Welcome to this week's Top 7, where the DEV editorial team handpicks their favorite posts from the previous week.
Congrats to all the authors that made it onto the list 👏
@wizsebastian details how they used Python and LLM vision capabilities to automate the transcription of 91 poems from Instagram screenshots. They walk through the entire process, from image processing to the final structured output, providing a practical example of AI-powered automation.
@eleftheriabatsou provides a hands-on guide to automating the process of keeping a GitHub profile README updated with the latest blog posts from platforms like dev.to and Hashnode. She demonstrate how to build a GitHub Actions workflow that fetches and displays recent articles, ensuring a developer's profile is always in sync.
@blackgirlbytes explores the practical application of using an AI agent to migrate an app split across two repositories to a unified Next.js framework. They share the lessons learned from this experiment, highlighting both the successes and the areas where human oversight remains critical.
@elmay makes the case against the overuse of "barrel files" (like index.ts) for re-exporting modules in TypeScript and JavaScript projects. They argue that while convenient, this pattern can lead to performance issues and confusing dependency graphs, advocating instead for the clarity of explicit imports.
@dennistraub introduces an MCP client for AWS IAM that replaces OAuth with simple IAM-signed requests using the mcp-proxy-for-aws package. He shows how to integrate the IAM client into common agent frameworks, making it straightforward to connect AI agents to AWS-hosted MCP servers.
@rafajrg21 outlines the process of building a SEO lead generation agent using Python and SerpApi. He explains how to create a tool that not only scrapes search engine results but also automates the analysis to identify potential leads with high accuracy.
@giom_v introduces Nano Banana Pro, guiding developers through setup in Google AI Studio and showing how to generate high-quality visuals using Python or JavaScript. They highlight features like reasoning, search grounding, multilingual rendering, and image mixing, offering a practical look at what the model can create.
And that's a wrap for this week's Top 7 roundup! 🎬 We hope you enjoyed this eclectic mix of insights, stories, and tips from our talented authors. Keep coding, keep learning, and stay tuned to DEV for more captivating content and make sure you’re opted in to our Weekly Newsletter 📩 for all the best articles, discussions, and updates.
Top comments (6)
Thanks for the shoutout!
Thanks for publishing on DEV @wizsebastian, @eleftheriabatsou, @blackgirlbytes , @elmay, @dennistraub, @rafajrg21, @giom_v!
Thanks
Wow! I wasn't expecting to be featured and just on the day I pushed some updates to my Agent on GitHub!
Thank you so much! 👨🏻💻
I think that anybody expects to be featured… you are, that's it. And you deserve it, your article is really great and useful!
"A very useful selection! It's always interesting to discover the best posts of the week — I found several new authors and great topics. Thanks to the team for the roundup!"