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Beyang
Beyang
Hi, I'm Beyang. I build developer tools and write about the craft of software development.
·beyang.org·
Beyang
How Software Groups Rot: Legacy of the Expert Beginner
How Software Groups Rot: Legacy of the Expert Beginner
Expert Beginner Recap In my last post I introduced the term “Expert Beginner” to describe someone who has capped out in their learning at some sort of local maximum, convinced that the local is global. Expert Beginners are developers who do not understand enough of the big picture to understand that they aren’t actually experts. […]
·daedtech.com·
How Software Groups Rot: Legacy of the Expert Beginner
Selfish reasons for building accessible UIs | Read the Tea Leaves
Selfish reasons for building accessible UIs | Read the Tea Leaves
All web developers know, at some level, that accessibility is important. But when push comes to shove, it can be hard to prioritize it above a bazillion other concerns when you’re trying to c…
·nolanlawson.com·
Selfish reasons for building accessible UIs | Read the Tea Leaves
The Tech Job Meltdown
The Tech Job Meltdown
Half a million layoffs? It's all accounting.
·professoraxelrod.com·
The Tech Job Meltdown
Official site of the DNS4EU project
Official site of the DNS4EU project
Join DNS4EU, an EU initiative providing secure, private, and reliable DNS services for users across Europe. Safeguard your online experience with DNS solutions that prioritise privacy, data protection, and compliance with EU standards. Explore DNS4EU for a safer internet.
·joindns4.eu·
Official site of the DNS4EU project
Ryo Lu (@ryolu_) on X
Ryo Lu (@ryolu_) on X
cooking @cursor_ai on mobile what do you want it to do?
·x.com·
Ryo Lu (@ryolu_) on X
Track Errors First
Track Errors First
Observability starts with errors, not dashboards. A case for tracking exceptions first — and not losing them in logs and metrics.
·bugsink.com·
Track Errors First
app.build – Open-Source AI Agent That Builds Full-Stack Apps
app.build – Open-Source AI Agent That Builds Full-Stack Apps
Code generation has been one of the most interesting use cases for LLMs. While the best models can generate decent code for isolated problems, there is a big ga...
·app.build·
app.build – Open-Source AI Agent That Builds Full-Stack Apps
What I've learned about writing AI apps so far | Seldo.com
What I've learned about writing AI apps so far | Seldo.com
I started writing a post called "how to write AI apps" but it was over-reach so I scaled it back to this. Who am I to tell you how to write anything? But here's what I'll be applying to my own writing of AI-powered apps, specifically LLM applications. A battle I've already lost is that we shouldn't call LLMs "AI" at all; they are machine learning and not the general intelligence that is implied to the layman by the name. It is an even less helpful name than "serverless", my previous can
·seldo.com·
What I've learned about writing AI apps so far | Seldo.com
Finetune AI using data in Google Sheets
Finetune AI using data in Google Sheets
Build your own AI model. Test it with formula in Sheets and integrate it in your app using API.
·promptrepo.com·
Finetune AI using data in Google Sheets
Third Party Cookies Must Be Removed
Third Party Cookies Must Be Removed
Third-party (AKA cross-site) cookies are harmful to the web, and must be removed from the web platform. This finding explains why they must be removed, and examines the challenges in removing them. We highlight some use cases that depend on third-party cookies and offer some examples of designed-for-purpose technologies that can replace them. Specification authors are expected to ensure they do not undermine the benefits of removing third-party cookies when proposing new web platform technologies.
·w3.org·
Third Party Cookies Must Be Removed
Why does Anubis use Proof-of-Work? | Anubis
Why does Anubis use Proof-of-Work? | Anubis
Anubis uses a proof of work in order to validate that clients are genuine. The reason Anubis does this was inspired by Hashcash, a suggestion from the early 2000's about extending the email protocol to avoid spam. The idea is that genuine people sending emails will have to do a small math problem that is expensive to compute, but easy to verify such as hashing a string with a given number of leading zeroes. This will have basically no impact on individuals sending a few emails a week, but the company churning out industrial quantities of advertising will be required to do prohibitively expensive computation. This is also how Bitcoin's consensus algorithm works.
·anubis.techaro.lol·
Why does Anubis use Proof-of-Work? | Anubis