ci

Muse Code is a coding agent for terminal and CI that can plan, edit, and run commands with built-in approvals and sandbox. Muse Spark, an AI model, is now available on Meta Model API and integrated into Muse Code.

The article explains how to speed up running Haskell scripts with Magix on GitHub Actions by caching dependencies and compiled artifacts, reducing full build times from over 100 seconds to near-instant reruns.

A tip on using codex exec to create repeatable, scriptable workflows for clean, isolated model runs, useful for evals, batch jobs, CI, and comparing prompts or models.

A tutorial on auditing your site's HTML for AI extractability issues, including building a Python audit script and adding a CI check to maintain extractability.

A blog post describing a minimal CI system using Git hooks and nq, a lightweight job queue, for personal git repositories.

KDE Linux has integrated openQA for end-to-end automated testing of its system images, replacing rudimentary tests with VM-based install and upgrade verification using Selenium via AT-SPI.

Cargo-nextest is a next-generation test runner for Rust that offers up to 3x faster test execution, per-test isolation, and first-class CI support.

PyTorch explains how its tests are dynamically generated at import time, affecting CI failure names, and offers a blog to help contributors understand the testing workflow.

AgenRACI is a YAML-based charter checker that formalizes agent accountability by defining roles, permissions, approvals, and escalation rules per action type, verifiable via CI or pre-commit hooks.

This article describes a new feature that allows users to tail CI logs over SSH using a terminal user interface, requiring no installation and handling ANSI codes correctly.