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 👏
Despite huge context windows, multi-modality, and a 3x bump from previous training datasets, @maximsaplin explains why they're not excited about the long-awaited Llama 4 model.
@m_mdy_m presents a protocol-agnostic and 100% event driven framework that takes the idea of dependency injection and modularity one step further—with a twist that makes it different from anything else out there.
@pradumnasaraf shows us how to run and interact with LLMs locally with Docker Model Runner.
@madsstoumann demonstrates how to use the updated attr() method in CSS (currently only available in Chrome) through developing a visually stunning moon component.
@wescpy walks us through how to use the Gemini API (via Google AI) for image generation.
@canro91 shares five personal lessons learned after being let go from their first coding job, including how that first job was really a launching platform.
@wraith encourages readers to consider a task management approach centered on context that emphasizes doing the right things at the right time.
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.
Thanks for sharing @maximsaplin, @m_mdy_m, @pradumnasaraf, @madsstoumann, @wescpy, @canro91, @wraith!