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 π
CSS Optical Illusions: 50+ Visual Illusions Built with Pure CSS and HTML
Alvaro Montoro γ» Jan 22
@alvaromontoro showcases a collection of 50 optical illusions created entirely with pure CSS and HTML. The author invites us to explore the creative possibilities of web styling while challenging our visual perception.
When DEV.to Stats Aren't Enough: Building My Own Memory
Pascal CESCATO γ» Jan 18
@pascal_cescato_692b7a8a20 shares the journey of building a personal analytics system to track article performance more in depth than the default platform tools allow. They walk us through the technical implementation using Cloudflare Workers and D1 to create a persistent "memory" for their content.
AI Workflows vs AI Agents, Explained with LEGOs
Shloka γ» Jan 23
@shlokaguptaa simplifies the distinctions between AI workflows and AI agents by using a LEGO analogy. The post breaks down how workflows follow set instructions like building a kit, while agents act more like creative builders making autonomous decisions.
@evanlausier discusses the hidden dangers of relying on AI coding assistants that are accurate enough to be useful but flawed enough to introduce subtle bugs. The author warns developers about the "66% problem," drawing attention to the idea that the effort to verify and fix generated code may outweigh the time saved by the AI.
What I learned while implementing a colorblind mode for my Belgian Wage Calculator site
Illarious γ» Jan 22
@illarious documents the process of implementing a colorblind mode for a Belgian wage calculator to improve accessibility. The author shares practical lessons learned about contrast, color selection, and the importance of inclusive design for data visualization.
@elshadhu argues that genuine human communication is becoming the most valuable asset in open source as repositories get flooded with low-quality AI-generated content. The post encourages contributors to prioritize meaningful interaction over automated volume to maintain the health of community projects.
Understanding AI Model (LLM) Parameters: A Chef's Guide
Seenivasa Ramadurai γ» Jan 19
@sreeni5018 demystifies the technical concept of LLM parameters by comparing them to ingredients and techniques in a professional kitchen. This "chef's guide" makes complex topics like weights and biases digestible for developers looking to understand the recipe behind AI models.
And that's a wrap for this week's Top 7 roundup! π¬ 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 youβre opted in to our Weekly Newsletter π© for all the best articles, discussions, and updates.
Top comments (7)
Happy to be part of this weekβs Top 7 β and even more so given the quality of the other featured articles!
Thank you for publishing on DEV @alvaromontoro, @pascal_cescato_692b7a8a20, @shlokaguptaa, @evanlausier, @illarious, @elshadhu, @sreeni5018 β€οΈ
Thanks!
Thank you Jess Lee.
Congrats to everyone, I've read so far @pascal_cescato_692b7a8a20 and @evanlausier posts and they were great! And of course @alvaromontoro CSS magic π
Thank you π
Wow! Thank you!! Happy to be a part also!! I've read most of these and there were definitely some good ones this week :)