Shing Lyu - Articles

In my previous post about replacing Raycast with macOS built-ins, I recommended turning your shell scripts into .command files so Spotlight can find and launch them.

I’ve been keeping an eye on Vanilla OS for quite a while, but almost all the official documentation was still focused on version 1.

Almost every day, I see someone on LinkedIn publicly calling out a “terrible” recruiter.

If you use GitHub Copilot custom agents, you probably know you can define them per-repository in .github/agents/.

I wanted a quick way to scan paper documents with my phone, but I kept getting harsh shadows on the page.

A few weeks ago, I was vibe coding a personal CRM with an AI assistant.

I’ve been experimenting with the GitHub Copilot Cloud Agent (also called the Copilot coding agent) as part of my remote vibe coding setup.

Many AI platforms — OpenAI, Anthropic — offer “scheduled tasks” or “scheduled agents” that run automatically.

I was scrolling through YouTube late one evening when a video on plain text accounting caught my eye.

In my previous post about ADR as Event Sourcing, I talked about capturing architecture decisions continuously as they happen, not months later when everyone’s forgotten the context.

Does any organization actually have good, up-to-date software architecture documentation?

As a busy parent, I often only have 5-10 minutes of uninterrupted work time before my child needs attention.

The TOGAF Practitioner exam can be challenging, but with the right strategy, you can significantly improve your chances of success.

In September 2008, I wrote my first blog post, a humble guide about fixing missing screen resolutions in Ubuntu.

I was really into Raycast.

The industry chatter is loud about “vibe coding”—the AI-assisted writing of software.

While working on my recent exploration of Rust on Google Cloud Run, I was impressed by how seamless and developer-friendly the experience turned out to be.

I was really into Raycast.

A few weeks ago, I published a comparison of Rust across AWS Lambda, Azure Functions, and GCP’s serverless offerings.

When you’re choosing a cloud platform for your next Rust serverless project, the landscape can be confusing.

“Sorry, but that just won’t work for our organization.”

In my previous post, we deployed a simple “Hello World” Rust function to Azure.

This is the first post in my new series on serverless Rust on Azure.

A frontend developer friend recently reached out to me for help.

After spending over a year each on my previous two books, I decided to experiment with AI assistance for my latest project: Learning to Learn AWS.

I’ve been working on improving my Dutch by watching NOS Journaal in Makkelijke Taal (NOS News in Simple Language).

I use AI chatbots and agents extensively in my daily workflow.

AI agents like Cline can now install complex software by interpreting documentation and handling environment differences automatically.

Last year, I wrote about turning hand-drawn architecture diagrams into digital diagrams using generative AI.

Since COVID, online meetings have become an indispensable tool for collaboration, communication, and productivity.

As a developer, I often find myself needing a tool that can let me type with voice.

graph TD subgraph "Input" NEWS["News from Social media,<br>Podcast,Feedly"] -- Save for later --> POCKET["Pocket<br>(Read later)"] Perplexity --> READ POCKET TWBOOK[Taiwan Library Books] YouTube --> DeepSRT Ideas

Note: This post is written with the help from Gemini 2.0 Flash.

A scammer(s), with the name “Amrw Hoinc”, is trying to use my identity to sign up for multiple websites.

I recently worked on a project to migrate a CDK project to Terraform, because the client want to standarize on Terrafrom.

My Linux laptop is running the old Ubuntu 20.04 and is going to go out of support next year.

The solution in this post is originally proposed by MattC and krassowski in this StakeOverflow thread.

Recently, I’ve been working on a project that requires running thousands of models simultaneously.

Triggering AWS code pipeline when new files are uploaded to S3 is a very common use case.

Background As an architect, whiteboarding is an essential part of the design and problem-solving process.

In my previous blog, I asked Raycast to create an iTerm2 terminal to run the transcription script.

Why local transcription?

Authors: Brajendra Singh, Shing Lyu The blog post is derived from a workshop I built with Brajendra Singh, which was never published.

Transcribing natural speech is a challenging task for voice-to-text services.

Raycast has become an indispensable tool in my workflow.

I have been using Joplin for work for two years now, and I love it.

Llm-chain is a Rust crate that help you create advanced LLM applications such as chatbots, agents, and more.

Hi, everyone!

Recently I’ve been contributing to llm-chain, a Rust library for working with large language models (LLMs).

I like Brave’s SpeedReader feature.