As Microsoft expands Copilot, CIOs face a new AI security gap - InformationWeek
As Microsoft expands Copilot, CIOs face a new AI security gap InformationWeek
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Я потратил месяц на AI-инструменты и удалил половину из них
В пятницу 14 февраля в 23:40 я сидел за ноутом, дожимая дедлайн на проекте за $2300 . Copilot вдруг подсунул мне "оптимизацию", которая так ловко сломала авторизацию сразу в трёх местах. Следующие четыре часа я чинил то, что за 11 секунд превратилось в кашу. Наутро я понял: из моих 14 AI-инструментов реально работали только три. Инструментальная перегрузка Когда я впервые начал работать с AI-инструментами, казалось, что это будет настоящим спасением. Меньше рутинной работы, больше времени на творчество. Но вскоре стало ясно, что эта иллюзия начала трескаться. Каждый инструмент считал своим долгом вмешиваться в код, предлагать "улучшения", которые на деле оборачивались дополнительной работой. К тому же, постоянно переключаться между ними было просто невыносимо. Вроде бы они должны экономить
Built a Lightweight GitHub Action for Deploying to Azure Static Web Apps
TL;DR I created shibayan/swa-deploy — a lightweight GitHub Action that only deploys to Azure Static Web Apps, without the Docker-based build overhead of the official action. It wraps the same StaticSitesClient that SWA CLI uses internally, includes automatic caching, and supports both Deployment Token and azure/login authentication. The Problem with the Official Action When deploying static sites (built with Astro, Vite, etc.) to Azure Static Web Apps, the standard approach is to use the official Azure/static-web-apps-deploy action that gets auto-generated when you link a GitHub repo to your SWA resource. Unlike other Azure deployment actions (e.g., for App Service or Azure Functions), this action uses Oryx — the build engine used across Azure App Service — to build your application intern
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