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A few weeks ago we teamed up with Kaggle to ask a deceptively simple question: how do you actually...

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small...

Hey friends 👋 Back in June, we posted about a Community Program Manager role. Thank you to everyone...

Same GGUF file, same llama.cpp build, greedy decoding, and a GTX 1650 Ti answers $20 where a Tesla T4 answers 2000. One GSM8K question followed down to the word where the two cards part, the order in which each card adds its numbers, and the one stock setting that makes them agree.

I’ve been writing a lot about AWS lately, so let’s take a breather. This is my little corner of the...

Why standard Kubernetes pods fail when AI agents start writing code and how to build a sub-second,...

Want AI to answer in a specific way? Don't just tell it. Show it. In this episode of Prompt Pad,...

The Pixel 3a runs LineageOS 24.0, Android 17, on its original 4.9 kernel with SELinux enforcing and Google apps. One kernel fix, five platform forks and a set of device-tree changes, each traced to a line of a boot log.

Why do New Caledonian crows bend wire into hooks with zero training while a trillion-parameter LLM flies straight into the same production bug zapper? How Anthony Zador's Genomic Bottleneck explains what 'instinct' really is in AI coding agents.

When people call an AI model "open," they don't always mean the same thing. On this week's Prompt...

How to enable fair, zero-cost, air-gapped AI assistance in technical classrooms and...

How my workflow evolved from solo prompting in AI Studio to managing a multi-model AI team, running...

A post by Ben Halpern

Digital transformation, anyone?

AQuA is an open-source quality agent that surfaces the production failures your health checks miss and, when you ask, traces a failure to the line of code behind it. Try its dashboard locally.

I folded it, unfolded it, and watched it flip to the other side. A three.js experiment, the math...

In this blog post, we build a Sign-In modal component (SignInModalComponent) using the stable Angular...

If you've ever tried to parse an LLM response in code, you know the pain: the format changes slightly...

Hacktoberfest 2026 wrapped up on October 31st! Thank you to everyone who built, hosted, mentored,...

A Rust crate reads the checkpoint, runs all 35 layers of Gemma 4 E2B and drives the decode loop on one TPU v5e chip in Colab, with every operation a TorchTPU kernel and the same tokens as compiled Python.

Why maintaining six separate parsers for Make, Gherkin, EBNF, DOT, SysV, and prompt checklists collapsed into a single Smalltalk-80 keyword cascade—and how 40-year-old Xerox PARC technology gave AI coding agents mathematical zero-amnesia.

Foreword: After the AI Agent Goes Online, What is the Next Bottleneck? Welcome back to...

Every public profile you own says something slightly different about you. A step by step guide to treating your bio as source code, with one file, one tracker and an agent skill that checks the live sites.

Day 33: From main.js Leaks to Hidden Tailwind CSS v4 Bloat — How I Built...

Gemma 4 E2B served three ways on one Cloud TPU v5e chip: a pure-JAX engine in Python, the same graph written in Rust and compiled by the libtpu that JAX loads, and vLLM, all timed by one client. bf16 beats 4-bit in the JAX engine, the Rust engine matches the JAX engine's tokens, and over HTTP it decodes at vLLM's rate with the fastest first token.

We now have AuthService for authentication and SignInModalComponent for users to enter their email...

Anyone with the public URL can use my tokens to perform image analysis and text-to-speech, which can...

We're excited to announce our newest challenge with Presage! The Presage SmartSpectra SDK Challenge...

The image that shows up when you share a DEV post just got a brand-new look! I got to work on...

Chances are you're already using open-source software without realizing it. In this episode of...