Our last line of defense has fallen.

OpenAI just released GPT-5, calling it their best coding model yet. Let's break down what the performance numbers actually mean and whether this matters for real development work.

Forget vendor hype: Is AI actually boosting developer productivity, or just shifting bottlenecks? Stop guessing.

Our study at Stanford cuts through the noise, analyzing real-world productivity data from nearly 100,000 developers across hundreds of companies.…

I often hear or see people claim that HTTP is a simple protocol. Primarily of course from people without much experience or familiarity with actual implementations. I think I personally also had thoughts in that style back when I started working with the…

Redefining how developers work with APIs. One Git-native, composable workspace. Offline-first. Markdown-powered. Developer-loved.

Live coding measure stress, not coding skills

YAML is known to be nobody's friend and almost everyone's enemy. Try this to see if it's your friend or foe!

Sorry Wplace.live

ChatGPT 5 was released today.




ChatGPT-maker OpenAI has unveiled the long-awaited latest version of its artificial intelligence (AI) chatbot, GPT-5, saying it can provide PhD-level expertise. Billed as “smarter, faster, and more useful,” OpenAI co…

In this research paper James Kettle introduces multiple new classes of HTTP/2-exclusive attacks, demonstrated on popular websites and servers.

hiring in tech is broken and everyone knows it. what can we do better?

We polled people about how they felt about software dependenices since more folk used AI

I am stepping down as GitHub CEO to build my next adventure. GitHub is thriving and has a bright future ahead.

Posted by lanzkron - 155 votes and 78 comments

People claim they get 10x productivity boosts with AI coding tools. After my recent experiments with Claude Code, I'm starting to think we're not using these tools the same way. Or that they’re just lying. Or both. See my story, and learn why you should not…

The AI hype train isn’t slowing down, but are we still focusing on the wrong parts of the software development life cycle?

While profiling Shadesmar a couple of weeks ago, I noticed that for large binary unserialized messages (>512kB) most of the execution time is spent doing copying the message (using memcpy) between process memory to shared memory and back.

This is long compilation of all the recorded MCP security flaws in the wild.