Welcome to the 294th edition of Coding Jag brought to you by TestMu AI!👐
The most forward-thinking companies are not just using AI, they are hiring it. It is showing up in Microsoft Teams, in Capcom’s playtesting pipelines, in Lindy’s iMessage support, and in Jotform’s workflows. The line between an AI assistant and an AI colleague is getting thinner every week.
This week’s edition covers all of that and more. See how Capcom uses Google Cloud to build AI agents that replace manual playtesting. Find out why GitHub Copilot is switching to token-based billing and what it means for your team. Anthropic shares how L’Oréal, Lyft, and Rakuten are rolling out Claude Cowork across their organizations.
You will also find out how n8n agents now show up as real teammates inside Microsoft 365, why AI data readiness is the missing step most enterprises skip, and how LLMs are changing test automation with real code examples.
📬 Come across something useful or interesting? Just reply and let’s exchange ideas.
News
12 min
devblogs.microsoft.com
🪟 Chiara Mooney at Microsoft announces the new WinApp VS Code extension, letting developers build, run, debug, and package Windows apps directly inside VS Code. No more switching between tools. It brings full Windows app development support, including WinUI and .NET, into one familiar editor with a smooth, integrated workflow.
10 minazure.microsoft.com
🏆 Naga Surendran at Microsoft shares that Azure API Management has been recognized as a Leader in the IDC MarketScape 2026 for Worldwide API Management. The post highlights how Azure API Management acts as a trusted control plane for API governance, security, and observability at a global scale, including support for AI workloads and Azure OpenAI.
08 mingooglecloudpresscorner.com
🎮 Google Cloud Press Corner shares how Capcom teamed up with Google Cloud to build AI agents that automate playtesting using Gemini Vision and reasoning models. Instead of manually hunting for bugs across massive game worlds, AI agents now inspect and pressure test games before launch, freeing developers to focus on creative work instead of repetitive fixes.
10 minforbes.com
🔐 Asaf Kochan, President and Cofounder of Sentra, writes in Forbes that most enterprise AI projects stumble not because of bad models but because of messy, ungoverned data. AI assistants like Copilot inherit existing access permissions, which means oversharing and poor data labeling become instant security risks. Getting AI-ready means treating AI agents like governed identities before deployment, not after.
11 minartificialintelligence-news.com
💸 Joe Green at AI News reports that starting June 1, 2026, GitHub Copilot is ditching flat monthly requests and switching to token-based billing. Users will get AI Credits instead of premium requests, with each credit worth one US cent. Simple queries cost little, but large coding tasks will burn through credits fast, pushing developers to think more carefully about how they use Copilot.
11 minblog.n8n.io
🤝 Desiree Lockwood at n8n announces that with Microsoft Agent 365 now live, teams can build n8n agents that appear directly inside Teams, Outlook, Word, and SharePoint. Each agent gets its own Entra ID just like a real teammate. You can @mention them, add them to emails, and let them pull data across tools like Salesforce, Zendesk, and PagerDuty without leaving Microsoft 365.
AI
06 minblog.agent.ai
🤔 Whitney Hathcock at agent.ai explores how AI quietly chips away at creative confidence. When your instinct feels rough next to a polished AI output, it is easy to assume AI is right. But specific, unconventional, and a little strange is exactly where good work lives. The fix is simple: notice your first instinct before reaching for AI, and trust what you have built over time.
12 minclaude.com
🏢 Anthropic shares a practical guide on how leading companies like L'Oreal, Lyft, and Rakuten are using agentic AI to transform the way they work. The post covers three pillars of enterprise AI transformation and introduces a six-month deployment framework for rolling out Claude Cowork, helping teams move from basic AI usage to systems that compound value over time.
12 minmindstudio.ai
🤖 The MindStudio Team pits Hermes against OpenClaw across five real tasks, including web scraping, lead generation, price monitoring, cron job scheduling, and content gap analysis. Hermes found mispriced supercars, built plumber lead lists with pitch angles, and surfaced stories most outlets missed, all running on a CPU instance at just $0.24 an hour.
12 mindatabricks.com
🏪 Aly McGue at Databricks interviews Sunil Gopinath, who leads data and AI at Albertsons across 2,300 stores. His approach was simple: stop tolerating fragmentation. One team, one platform, one operating model. Built on Databricks, the strategy centers on four AI bets including customer experience and supply chain, with reusable accelerators that let any team move ten times faster.
09 mintestmuai.com
🧪 Saniya Gazala at TestMu AI breaks down what AI-augmented software testing really means in 2026. Dev teams ship faster than QA can keep up, and the gap is growing. The guide covers how AI automates test generation, self-heals broken scripts, and prioritizes test runs while keeping human testers focused on the judgment-based work that AI still cannot replace.
Automation
10 minlindy.ai
⚙️ Marvin Aziz shares the messy, honest story of building iMessage support three times in six weeks. A Swift daemon, a BlueBubbles rewrite, then a full migration to Linq's API after Apple permanently banned their account for sending 10,000 messages in 12 hours. The final rebuild using Claude Code took just four hours and zero Mac Minis.
09 minthegreenreport.blog
⚙️ Irfan Mujagic walks through how to plug FlaUI Windows desktop UI tests directly into a GitHub Actions CI/CD pipeline. The guide covers setting up a self-hosted Windows runner, configuring the YAML workflow, handling virtual display issues, and running automated desktop tests on every pull request so bugs get caught before they reach production.
08 minranorex.com
🔄 Ben Nettleton at Ranorex breaks down how AI is improving DevOps testing workflows across CI/CD pipelines. As release cycles get shorter, brittle and flaky tests become a bigger problem. AI helps through self-healing locators, smarter object recognition, and risk-based test prioritization, reducing the manual maintenance burden that slows teams down after every UI update.
07 mintestmuai.com
🤖 Salman Khan at TestMu AI breaks down how LLMs are changing test automation in 2026. From generating test cases out of plain English prompts to writing automation scripts and analyzing logs, the guide covers real code examples, key benefits, and honest limitations like redundant outputs and missed domain constraints that teams need to watch out for.
Video & Podcast
11 minyoutube.com
🎙️ In this podcast of the AI Agents Podcast, host Demetri Panici sits down with Aytekin Tank, Founder and CEO of Jotform, to explore how Jotform Workflows help teams automate repetitive tasks and manage complex processes. From small businesses to healthcare and nonprofits, they cover how AI-powered workflows are helping organizations move beyond basic automation toward smarter, connected operations.
10 minyoutube.com
📺 Tim from TechWithTim reviews 20 AI engineering courses and narrows them down to his top five picks for 2026. He covers evaluation criteria, including price, interactivity, and skill level, highlighting courses from DataCamp, HuggingFace, DeepLearning.AI, Coursera, and Full Stack Deep Learning to help you pick the right one for getting into AI engineering.
Events
08 mingithub.blog
🎤 Lee Reilly at GitHub announces OpenClaw: After Hours on June 3, 2026, at GitHub HQ in San Francisco, running alongside Microsoft Build 2026 with a virtual option on Twitch. The evening features a fireside chat with OpenClaw creator Peter Steinberger, a panel with maintainers and ecosystem builders, lightning talks, and a happy hour for developers building real agentic systems.