Build an AI code review pipeline on GitHub Actions with Semgrep, reviewdog and a Python model reviewer. 12 steps, tested code ...

Learn how to make GitHub Actions scheduled workflows more reliable with automated QA, Slack reporting, duplicate prevention, ...

A new open-core project called ARES is giving red teams a way to run planned, controlled attack tests against Active Directory and cloud systems. A developer who goes by Mafifrizi released the tool on ...

The software development lifecycle is undergoing significant changes as autonomous agents take on more tasks. GitHub is experiencing a surge in AI-generated pull requests, indicating a shift in how ...

A lightweight load tester for pages that sit behind a login. Each virtual user signs in for real (session cookie or Bearer token), then hits every configured page N ...

My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional elements of Android apps and ...

GitHub's annual Octoverse 2026 report shows agents initiating about 40% of pull requests. It also shows how 7.4 billion ...

Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI ...

Background and Conventional Challenges📌 [Primary Information/Official Reference]: GitHub Actions Official Documentation ...

This article explains how to build a "guardrail environment" that leverages AI coding agents like Claude Code and Cursor ...

I tested REA, GitHub's viral reverse engineering tool, on a 100 MB Electron app. Here's where its static analysis impressed and where it failed.

Unsloth details how Studio scans model code, blocks flagged weights, inspects packages and sandboxes tools before anything runs.