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 👏

@sylwia-lask argues that jQuery is far from dead, suggesting its continued existence is due to economic reality, not technical excellence. They point out that huge platforms like WordPress rely on it, making the cost of removal far higher than the cost of keeping the legacy code.

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@elvissautet shares a personal realization about forgetting native CSS syntax, using this experience to reflect on Tailwind CSS's massive adoption. He offers practical advice to peers, urging developers not to confuse the utility-first framework (the tool) with the foundational language (the platform).

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@adamthedeveloper explores the complexity of the tech stack, arguing that the true "Full-Stack Developer" who masters every layer is a myth. They conclude that a great generalist is a developer who can Google with speed and understand core fundamentals across the entire system.

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@sagiadinos makes the case that calling Large Language Models (LLMs) "AI" is misleading marketing that leads to unrealistic expectations and wasted resources. They offer a grounded perspective, explaining that LLMs are powerful pattern-matching calculators that simulate intelligence, not conscious entities.

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@junothreadborne describes the unique emotional tax on developers who maintain high code standards in an environment of comfortable indifference. He encourages peers to continue showing visible care for "invisible" work (like tackling tech debt and writing thoughtful code reviews) as an act of integrity.

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@alexiskroberson shares their personal journey from a DevOps role to a Developer Advocate, which perfectly married their technical background with a passion for communication and teaching. They explore how the age of AI is reshaping DevRel, emphasizing that the role requires a focus on AI education and enablement.

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@lovestaco provides a hands-on guide to solving a common concurrency challenge in Go when dealing with a single-writer database like SQLite. They walk through implementing a producer-consumer pattern using goroutines and buffered channels to maximize parallel CPU work while linearizing database writes.

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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.