Why LLMs Can't Really Build Software β Zed's Blog
Large Language Models excel at writing code but struggle with the iterative mental modeling that defines effective software engineering. While LLMs can generate code and update it when given specific problems, they cannot maintain clear mental models of requirements versus implementation, leading to confusion when tests fail or debugging is needed. Current models suffer from context omission, recency bias, and hallucination issues that prevent them from understanding complex software systems. For non-trivial projects, human engineers must remain in control, using LLMs as tools while maintaining responsibility for requirements clarity and code verification.
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Color Shifting in CSS β’ Josh W. Comeau
Explores the challenges of animating color transitions in CSS, revealing that browsers perform color interpolation in RGB space even when colors are specified in HSL, causing unwanted gray intermediate colors. Demonstrates how CSS filters, specifically hue-rotate(), provide a superior solution for smooth color shifting animations. Includes practical techniques for creating particle effects with dynamic color transitions and twinkling animations.
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Kubernetes Scaling Strategies
Kubernetes offers three main scaling strategies for containerized applications: Horizontal Pod Autoscaling (HPA) increases or decreases pod replicas based on resource usage like CPU and memory; Vertical Pod Autoscaling (VPA) adjusts individual pod resource limits and requests; and Cluster Autoscaling manages the number of worker nodes in the cluster. HPA works best for stateless applications, VPA suits workloads with variable resource needs, and Cluster Autoscaler ensures infrastructure scales with demand. Each strategy addresses different scaling needs and can be combined for comprehensive auto-scaling solutions.
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How Stripe Ships 1,145 Pull Requests Per Day
Stripe processes over 1,145 pull requests daily through three key strategies: organizing into small autonomous teams that create micro-PRs (under 150 lines), implementing lightning-fast CI pipelines (2-4 minutes) with automated testing and auto-merge capabilities, and using feature flags with instant rollback mechanisms for safe deployments. The approach emphasizes breaking large features into small, reviewable increments, automating manual coordination tasks, and decoupling deployment from release through granular feature controls.
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My Ultimate Self-hosting Setup
A comprehensive guide to building a self-hosting setup using NixOS, ZFS, and Tailscale. The author shares their journey from tinkering with various approaches to settling on a stable configuration that prioritizes security, usability, and maintainability. Key components include NixOS for declarative configuration, ZFS for data protection, Tailscale for secure networking, and Authelia with LLDAP for authentication. The setup separates public and private services across multiple servers, with detailed solutions for common problems like DNS configuration, SSL certificates, and service proxying.
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Gaslight-driven development
Large Language Models are increasingly influencing API design decisions by consistently suggesting certain patterns and method names, forcing developers to adapt their APIs to match AI expectations. Companies like Soundslice and Instant have added features or modified their APIs because LLMs kept referencing non-existent functionality or preferred alternative naming conventions. While this creates a feedback loop where AI shapes the tools it uses, it may also push developers toward more conventional, predictable API designs rather than innovative approaches.
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Ambiphone is a web application that provides ambient sounds and music for work, study, and relaxation. It offers various categories including nature sounds (rain, thunder, waves), ambient music tracks, environmental sounds (coffee shops, traffic), sci-fi atmospheres, live police radio feeds, signal transmissions, binaural beats, and different types of noise. Users can create custom mixes from these audio elements to enhance focus and productivity.
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Obsidian Note Codes β ezhik.jp
A developer created an Obsidian plugin called Note Codes that assigns unique 4-character alphanumeric codes to every note in a vault. These codes enable quick referencing of notes from external sources like handwritten notes, and include a protocol handler for direct note access. The codes are generated using SHA-256 hashing of the note's path and Douglas Crockford's Base32 encoding, with similar-looking characters excluded for clarity.
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[Announcement] Upcoming new requirements for YouTube downloads Β· Issue #14404 Β· yt-dlp/yt-dlp
yt-dlp will soon require the Deno JavaScript runtime to continue downloading YouTube videos due to changes in YouTube's JavaScript challenges that make the built-in interpreter insufficient. Users need to install Deno and may need additional setup depending on their installation method - PyInstaller users need no extra action, PyPI users should install with the 'default' dependency group, and other installation methods have specific requirements.
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AI Was Supposed to Help Juniors Shine. Why Does It Mostly Make Seniors Stronger?
AI tools in software development are primarily benefiting senior developers rather than empowering juniors as initially expected. While AI excels at generating boilerplate code and automating repetitive tasks, it struggles with code review, architecture design, security considerations, and quality assessment. Senior developers can better leverage AI's strengths while avoiding its pitfalls, as they possess the experience to write effective prompts, evaluate AI-generated code, and maintain proper software architecture. The current state suggests AI is concentrating power among experts rather than democratizing coding skills.
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Why Local-First Apps Havenβt Become Popular?
Local-first apps promise instant loading and privacy but remain uncommon due to synchronization challenges. Building offline-capable applications creates distributed systems where multiple devices modify data independently, requiring solutions for unreliable event ordering and data conflicts. Hybrid Logical Clocks (HLCs) solve ordering issues by combining physical and logical timestamps, while Conflict-Free Replicated Data Types (CRDTs) handle conflicts through strategies like Last-Write-Wins. SQLite serves as an ideal foundation for local-first architectures, enabling reliable offline functionality through message-based synchronization that guarantees eventual consistency across devices.
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This website has no class
A developer experiments with removing all CSS classes from their personal website, instead relying on semantic HTML elements, custom tags, and custom attributes for styling. The approach reduces CSS bundle size to ~5KB and improves accessibility, but requires more careful planning and deeper HTML/CSS knowledge. While successful for a personal project, the author acknowledges it may not scale well for larger teams with varied frontend expertise.
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You Don't Need Animations
Animations should serve a clear purpose rather than being added for decoration. Key considerations include frequency of use (high-frequency interactions should avoid animations), speed (UI animations should stay under 300ms), and user goals. Examples demonstrate how purposeful animations can explain features, provide feedback, or improve perceived performance, while unnecessary animations can slow down workflows and frustrate users.
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Smooothy
Smooothy is a configurable JavaScript slider/carousel library that emphasizes smooth animations and extensibility. It offers CSS-based styling, infinite looping, drag gestures, conditional activation, and customizable lerp/damp speeds for consistent performance across different refresh rates. The library provides an event API for reading animation state parameters like speed, current position, target, and progress. It includes WebGL utilities and claims compatibility with major frameworks through custom hooks.
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How AI Vibe Coding Is Erasing Developersβ Skills
AI coding tools like GitHub Copilot are creating a phenomenon called 'vibe coding' where developers become overly dependent on AI-generated code, leading to skill degradation and loss of fundamental programming abilities. This dependency results in security vulnerabilities, debugging difficulties, and architectural blindness as developers stop understanding the code they ship. The article argues for using AI as a co-pilot rather than autopilot, maintaining human oversight and continuing to practice core coding skills to avoid becoming liabilities when AI fails.
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Make your computer better.
Zorin OS is a Linux distribution designed as an alternative to Windows and macOS, emphasizing ease of use for newcomers with familiar desktop layouts. Built on Ubuntu, it offers enhanced performance, security, and privacy while supporting older hardware up to 15 years old. Key features include Windows app compatibility, gaming support, mobile device integration through Zorin Connect, and dual-boot capabilities. The Core edition is free, with a Pro version available for advanced features.
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I made a tree visualizer
A developer created a standalone web application for visualizing tree data structures, originally used for teaching React component hierarchies and concepts like prop drilling and context. The tool features keyboard shortcuts for node manipulation, visual effects like pulsing and drilling arrows, and the ability to save tree diagrams as images for sharing.
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How Anthropic teams use Claude Code
Anthropic's internal teams across 10 departments share how they use Claude Code to transform their development workflows. Teams report significant productivity gains through automated code generation, debugging assistance, and cross-functional collaboration. Key use cases include infrastructure debugging, test generation, codebase navigation, and enabling non-technical staff to build complex applications. Teams emphasize the importance of detailed documentation, iterative workflows, and treating Claude Code as a collaborative partner rather than a one-shot solution.
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Write the damn code
Software engineers should avoid endless prompt refinement when working with AI and instead actively write code themselves. Rather than trying to perfect prompts to get AI to generate complete solutions, developers should engage with the code directly by refactoring AI-generated code, writing initial versions for AI review, handling critical parts manually, or creating code outlines for AI to complete. This hands-on approach produces better results than attempting to 'program in English' through prompt iteration.
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Docusaurus 3.9
Docusaurus 3.9 drops Node.js 18 support and requires Node.js 20+, adds Algolia DocSearch v4 with AI-powered search assistant, improves internationalization with new locale configuration options, introduces Mermaid ELK layout support for complex diagrams, and includes various performance improvements and bug fixes.
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Introducing Notebooks
Modal launches Notebooks, a collaborative cloud-based computing environment that provides instant GPU-enabled Python kernels starting in under 5 seconds. The platform offers real-time collaborative editing, automatic resource scaling from 0.125 CPUs to 8 H100/B200 GPUs, and seamless integration with Modal's existing infrastructure including Volumes and Functions. Key features include fast cold-start times, automatic idle shutdown to reduce costs, shared environments across teams, and modern development tools like LSP support and AI completions.
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