Framework focus shifts to core refinement, modern favicon setup with adaptive theming, only 48% consistently verify AI output creating comprehension debt, plus why LLMs fail at predictable execution.

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Welcome, Developers! πŸ‘‹

JavaScript frameworks are refocusing on core refinement in the AI era, favicon best practices have simplified dramatically, and AI-generated code creates dangerous comprehension debt when developers rubber-stamp without verification. We also explore ideal terminal colors and see why LLMs shouldn't handle both judgment and execution in production.

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πŸ”– The Reading Room

Articles we have hand-picked for you:

JavaScript Frameworks: Heading Into 2026

Fun read, full of memes and useful info on how JavaScript frameworks are shifting focus in 2026 due to AI's influence and more. The emphasis has moved from implementation details to strategic vision and core refinement.

By Ryan Carniato β†’

How to Favicon in 2026: Three files that fit most needs

Generating 20+ PNG files for favicons is too oldschool now. Three files (favicon.ico, icon.svg, and apple-touch-icon.png) plus a web manifest can cover all modern browsers and devices. Learn to create adaptive icons that switch between light and dark themes, optimize file sizes, and streamline your workflow.

By Andrey Sitnik β†’

The 80% Problem in Agentic Coding

Comprehension debt accumulates when developers generate code faster than they can understand it. Survey data shows 38% find reviewing AI logic harder than human code, yet only 48% consistently verify AI output before committing. The risk: you're no longer engineering, just rubber stamping plausible looking solutions.

By Addy Osmani β†’

Curiosity is the first-step in problem solving.

Colors that look great in your terminal theme may be unreadable in others. Testing across popular themes like macOS Basic, Tango, and Solarized shows that only 11 out of 32 possible color settings remain readable across common configurations. CLI developers should stick to this limited palette to ensure their tools work for everyone, not just users with specific terminal themes.

By Luna Razzaghipour β†’

Software is Mostly All You Need

Production systems need responsibility and predictability in edge cases, both things LLMs cannot provide. Most AI agent deployments get it wrong by using LLMs for both judgment and execution, when traditional software excels at executing explicit instructions.

By Jonathan Milgrom β†’

⏳ Back in Time

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🧰 The Toolbox

Tools and products we're excited about today:

Travels

Travels is a new framework-agnostic undo/redo library that stores only changes, not snapshots. This makes it 10x faster and memory-efficient. Works with React, Vue, Zustand, or vanilla JavaScript.

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Midscene.js

Midscene.js automates UI testing across web, mobile, and desktop platforms. It uses pure vision-based AI models. You write automation scripts with natural language, eliminating traditional code.

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Solid UI

SolidUI is an unofficial port of shadcn/ui to Solid. It provides accessible, customizable components built with Kobalte and corvu. Free, open-source, and styled with Tailwind CSS.

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Cheerio 

Cheerio is a fast library for parsing and manipulating HTML/XML using jQuery syntax. It works server-side in Node.js. Perfect for web scraping and document manipulation tasks.

Learn more β†’

This app that might actually make you love meetings.

Meetings aren’t the problem. The challenge is everything that comes after them.


Take notes the way you always have. Granola works in the background, turning conversations into clear summaries, action items, and next steps.


You can then chat with your notes to quickly understand what needs to happen, write follow-ups, or share context with others.


Download Granola for free and use it in your next meeting using the code SITEPOINT

Download for free β†’

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