A programmer shares his five-year experience of switching all devices to UTC instead of local time zones. The approach eliminates mental conversion overhead, provides consistency during travel, and simplifies scheduling for remote workers. While there are minor downsides like explaining the setup to others and converting 12-hour local times, the author found it significantly improved productivity and time management across global schedules

Apple's new Liquid Glass design aesthetic for version 26 operating systems creates complex visual effects with light refraction, distortion, and frosted glass appearances. Web developers are recreating this look using CSS backdrop-filter, SVG filters like feDisplacementMap and feGaussianBlur, and React components. The technique involves multiple parameters including displacement scale, blur amount, saturation, and aberration intensity. However, implementing liquid glass effects raises significant text contrast accessibility concerns that developers must carefully address when placing text over unknown backgrounds.

The post explores the idea of combining the convenience of digital calendars with the flexibility and personal touch of paper calendars. It discusses the limitations of current digital calendar apps, which often lack personalization and flexibility, and the unique advantages of paper calendars. The goal is to create a 'sketchy calendar' that offers interconnected views, personalization, and dynamic functionality while maintaining a personalized, sketch-like quality.

Analysis of Claude 4.0's system prompt reveals how Anthropic uses natural language instructions to program chatbot behavior. Key changes include removal of old hotfixes (now handled in training), encouragement of search functionality, expanded artifact use cases, context optimization for coding, and new cybersecurity guardrails. The 23,000-token system prompt consumes 11% of Claude's context window and demonstrates a user-driven development cycle where observed behaviors are first addressed through prompt modifications, then incorporated into model training.

A web-based simulator that replicates Air Lab firmware functionality, allowing users to interact with virtual environmental sensors through different simulated environments. The simulator includes device controls, USB connectivity simulation, and menu navigation features, providing a hands-on experience without requiring physical hardware.

AI coding tools like Claude Code enable developers to generate working code without reading it, but this practice leads to three critical issues: architectural decay, loss of domain knowledge, and security vulnerabilities. The author advocates for two responsible approaches: fast prototyping with post-session review for peripheral features, and synchronous pair-coding for core functionality. A comprehensive checklist covers architecture consistency, security scoping, meaningful tests, documentation, error handling, and performance considerations.

A comprehensive collection of open-source tools tailored for designers and creative professionals to enhance their work.

AI systems are actually more transparent than human intelligence when it comes to understanding their internal workings. While AI is often called a "black box," researchers can inspect every neural connection in open-source models, trace concept paths through networks, and determine input importance - capabilities far beyond what's possible with human brain analysis. Even closed-source AI models can be studied through controlled interrogation and distillation techniques. The human brain remains more opaque due to physical and ethical constraints on research, making AI the more interpretable intelligence despite popular perception.

The post discusses emerging open data standards in the data world including Postgres, Open Telemetry (OTel), and Iceberg. These standards are underpinned by important open source tenets: OSI-approved licensing, the feasibility of self-hosting, and vendor neutrality. Postgres has become a standard due to its compatibility across platforms and non-ownership by any single entity. OTel is gaining traction among major cloud providers for its telemetry capabilities, while Iceberg is leading in OLAP standards. The emphasis is on achieving portability and interoperability, particularly with AWS's S3, enhancing data management and reducing vendor lock-in.

This tutorial provides a structured guide to mastering prompt engineering with Claude, including nine chapters with exercises and an appendix of advanced methods. Users will learn to create optimal prompts, recognize common errors, and utilize areas like an Example Playground to experiment. The tutorial uses Claude 3 Haiku and recommends using the Google Sheets extension for convenience.

Openness in data architecture refers to building sustainable and trustworthy systems through open-source and standardized formats. It promotes collaboration, avoids vendor lock-in, and maximizes the utility of open-source tools. Key components include data lakes, data warehouses, and orchestration, which support data management ecosystems like the data lakehouse and modern data stacks

If you’re learning something new-coding, design, strategy, systems, writing about it will double the speed and depth of your learning.
It doesn’t have to be public. It doesn’t have to be pretty.
But it has to be real.
Because writing forces you to slow down, organize your thoughts, spot your blind spots, and sharpen your understanding in ways passive consumption never will.
Passive learning ≠ real learning
You can binge a 3-hour YouTube
Scroll 20 well-crafted Twitter threads on business models.
Maybe even highlight a few Medium articles.
And you’ll feel smart afterward.
But until you try to explain the concept in your own words, you won’t know what you actually understand - and what you’ve just memorized.
“If you can’t write it clearly, you don’t understand it deeply.”
Writing is the cheapest, fastest test of comprehension. No grades. No teacher.
Just a blinking cursor asking, “Do you actually get this?”
Ever try explaining something and halfway through…your brain just blanks?
That’s not failure - it’s discovery. It’s your mind running into a gap you didn’t know existed. And once you see it, you can fix it.
Writing makes those invisible gaps visible. It turns “I think I get it” into “I know where I’m lost.”
This is where compounding kicks in
After 10 write-ups on how you built or solved something, you start seeing patterns:
→ The same problems keep showing up
→ Certain assumptions fail every time
→ The same tools quietly carry the weight
Those patterns become systems. And once you have systems, learning stops being a linear grind - it starts compounding.
You don’t have to be a “writer”
Pick a simple rhythm and stick to it:
Mon → “What did I struggle with today?”
Wed → “What finally clicked?”
Fri → “What would I tell someone learning this?”
Keep each entry under 200 words. Don’t over-edit. The goal isn’t to look clever - it’s to think clearly.
The people who learn fastest aren’t the ones with the most raw talent.
They’re the ones who write.
Not for likes. Not for followers. But because writing is how they process, refine, and absorb faster than everyone else around them.
Thinking is messy. Writing makes it real.
Do you write while you’re learning - or only once you feel ready to “share”?

A comprehensive guide to effective code reviewing based on two decades of experience. Emphasizes focusing on big picture design over syntax, the critical importance of good naming, being decisive when rejecting changes, and treating reviews as iterative communication processes. Key principles include running code locally when possible, asking clarifying questions, avoiding nitpicking on formatting, and continuously learning from the review process.

Docusaurus is a static site generator built by Meta for creating and maintaining documentation websites. It offers simple setup with npm initialization, built-in localization support, customizable themes, and includes essential pages like docs, blog, and home sections. The project is open source, actively maintained, and designed to help developers focus on content rather than website infrastructure.

Google's Gemini 2.5 Pro introduces advanced reasoning capabilities for frontend development, featuring a 1 million token context window and multimodal processing. The model leads current AI leaderboards for web development tasks and offers competitive pricing compared to GPT-4o and Claude. Key advantages include native step-by-step reasoning, ability to process entire codebases, and integration with Google's custom TPU hardware for faster, cheaper inference. Practical demonstrations show the model can generate complete web applications, 3D games, and recreate popular social media interfaces from single prompts

Advanced multi-column sorting techniques using space filling curves (Morton and Hilbert encodings) and truncated timestamps can significantly improve query performance on columnar data formats. These methods enable approximate sorting across multiple columns simultaneously, allowing diverse dashboard queries to benefit from min-max indexes and row group pruning. Experiments on flight data show Hilbert encoding provides the most consistent performance across different query patterns, while sorting by truncated timestamps (year-level granularity) combined with Hilbert encoding works best for time-filtered queries.

Mangle is Google's open-source programming language that extends Datalog for deductive database programming. It enables querying data from multiple sources uniformly and supports recursive rules, aggregation, and function calls. The language is particularly useful for vulnerability detection, dependency analysis, and knowledge graph modeling. Implemented as a Go library, Mangle can be embedded into applications and offers practical extensions beyond traditional Datalog while maintaining accessibility for developers.

Explore the process of building a financial analyst powered by MCP (Multi-agent CP), which integrates AI components like DeepSeek-R1 LLM and CrewAI for multi-agent orchestration. The system setup includes agents for query parsing, code writing, executing, and visualization of financial data. The tech stack utilizes various tools to create a locally functional financial analyst that can perform complex stock analysis and generate visual outputs.