AI agent benchmark: I gave 9 models a destroy button and a job that needed it

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass ...

I started building MAF because I wanted to make AI more reliable and spend less on it. My idea was...

Everyone has a story about a coding agent "fixing" a failing test by editing the test. I wanted a...

In the agentic engineering world, coding agents generate a lot of code quickly. The bottleneck shifts...

Hey DEV Community! 👋 Let’s be real for a second: the current state of AI apps is getting a little...

My to-do list kept growing faster than I could clear it, and most of it wasn't hard work. "Compare...

1. Introduction I have worked on application analytics projects, and there is one question...

The ghat, the crowd and the dead network Every year during Chhath Puja, lakhs of families...

Your AI agent doesn't have to be hacked if it can be convinced to hack itself. That is the...

Six LLMs, the same 46 manga pages, 278 lines, every mistake counted. Two models made none. A light model beat a middle one, and most mistakes were not about vocabulary.