ScholarHat

@ClaudeCodeLog Good set of upgrades. These improvements make plugin management safer, improve cost transparency, and reduce unexpected behavior in long running sessions which is exactly what production grade dev tools need.

Claude Code 2.1.143 is now available. 33 CLI changes Highlights: • Plugin disable refuses if enabled plugins depend on it, showing a disable-chain hint to avoid broken setups • Plugin marketplace shows per-turn and per-invocation token estimates, making token usage & costs visible • Background sessions now preserve model and effort level after waking, preventing unexpected model resets Complete details in thread ↓

@tazkoosh Strong point. Real system thinking and trade-off clarity only come from building and owning complex systems over time, not from isolated prompt tasks.

@ScholarHatX system thinking and trade-off communication are things you cannot test with a prompt challenge. that is what 18 months of bad architectural decisions teaches you. the hiring managers noticed.

I spoke to 10 AI hiring managers. They don’t want AI theorists. They want developers who can ship AI features. What matters in 2026 hiring: • Real AI projects • System thinking • AI trade-off communication • Cloud deployment skills #AIEngineer #GenerativeAI #AIJobs

Your .NET or Java background is an AI superpower in 2026 • .NET Azure AI native integration • Java AWS Bedrock Spring AI • Enterprise mindset AI system design • Build AI projects from day 1 • Clear career pivot path #AIEngineer #GenerativeAI #AIJobs #DotNet #Java

@cursor_ai This is a huge step for autonomous development workflows. Giving cloud agents fully configured environments makes AI coding assistants feel much closer to real engineering teammates.

Starting today, you can run cloud agents inside fully configured development environments. Set them up the same way you'd set up a laptop for an engineer: cloned repos, installed dependencies, and toolchain credentials.

@testingcatalog This feels like a major step toward truly personalized AI agents. A 24/7 assistant that learns workflows, connects across apps, and actively handles tasks could completely change how users interact with AI day to day.

GOOGLE 🔥: A new Gemini Spark Agent is about to be revealed during Google I/O. Gemini Spark will work as a 24/7 assistant that can learn from user behavior and work with connected apps and skills. > Let Gemini do more as your everyday AI agent, ready 24/7 to help with your inbox, online tasks, and more. > The more you use Gemini Spark, the better it understands you and what you want to accomplish. To work on your tasks, it uses your info from sources like Connected Apps, skills, chats, tasks, websites you’re logged into, Personal intelligence, location, and more. > To help you get things done efficiently, Gemini saves remote browser data, like login details and remote code execution data. You can clear this data and turn off Connected Apps and other Personal intelligence features in Settings.

@Kyriakos_Pelek Appreciate it! The goal is to stack skills strategically while staying consistent over time. Small daily progress compounds faster than most people expect.

@ScholarHatX solid lineup, show how you stack skills and time

5 AI projects to get hired in 2026 • RAG chatbot (LangChain, Semantic Kernel) • AI agent with tools • Image classification app • AI REST API • Document intelligence processor Stack, difficulty, time define your edge #AIEngineer #GenerativeAI #AIJobs

@AzureSupport Strong step toward practical enterprise AI adoption. Foundry Agents on Azure can make complex workflow automation and scaling much more seamless for real-world applications.

🤖 Supercharge your apps with Foundry Agents on #Azure! ⚡ Automate complex tasks ⚡ Orchestrate workflows easily ⚡ Scale intelligent solutions Get started 👉 msft.it/6014vHeer

@AzureSupport Great to see Azure making it easier to ship intelligent apps faster. Prebuilt AI workflows + seamless integration is exactly what teams need to reduce setup time and focus more on building real product value.

🚀 Build intelligent apps faster with ready-to-use templates on #Azure! ✨ Prebuilt AI workflows ✨ Seamless integration ✨ Accelerate innovation Start exploring 👉 msft.it/6015vHebc #AI #DevTools

@JamesZmSun This is a strong step toward real end-to-end autonomous testing. Viewport-aware testing, breakpoint validation, and automated screenshots make Codex feel much closer to a practical QA assistant for modern web development.

Codex can now use the in-app browser to test your app at different viewport sizes! It will control the device tool bar and click through your app at different breakpoints to validate & iterate. If it's a long run, Codex will take screenshots at key moments during testing and show them to you at the end of the turn, so you can verify its work. To speed up testing, Codex can hide the IAB to disable animations, and accelerate testing by 1-2x. Separately, we also made annotations send faster and consume less tokens. Hope you enjoy the updates and let us know what you think!

@intel @Microsoft Great collaboration between Intel and Microsoft. Xeon 6 bringing performance and security improvements to Azure is a strong step for scalable AI and cloud workloads.

@ScholarHatX Thanks for the excitement! We’re proud to work with @Microsoft to bring Intel Xeon 6 performance, scale, and security to Azure customers powering AI and cloud workloads.

The latest #IntelXeon 6-based VMs are now available on @Microsoft Azure, bringing the #cloud performance and features you need: higher general compute performance, larger VM sizes, better security, and more. Future-proof your cloud-scale workloads with Intel. Learn how: ms.spr.ly/6011v3B0x

@OpenAIDevs This is a big productivity boost for AI developers. Faster app and agent development workflows can help teams move from ideas to production much more efficiently.

Codex can now help you build AI apps and agents faster with OpenAI APIs using the OpenAI Developers plugin.

@claudeai Simple features like this can massively improve developer workflow. Having all agent sessions in one view makes long-running AI-assisted coding much easier to manage and revisit.

New in Claude Code: agent view. One list of all your sessions, available today as a research preview.

@kimmonismus Interesting contrast in how AI companies are approaching advanced cyber capabilities. The balance between openness, safety, and controlled access is going to shape the future of AI security tooling.

Anthropic: “Claude Mythos is too cyber-capable to release broadly. We need tight controls. 😳” OpenAI: “Here’s GPT-5.5-Cyber, Codex Security, Trusted Access tiers, repo scanning, patch generation, and red-team workflows. Please be verified first, but yes, go find the bugs. 😎”

@OpenAI This is the kind of AI application that can create real-world impact. Excited to see AI being used to help security teams respond faster and stay ahead of evolving threats.

Introducing Daybreak: frontier AI for cyber defenders. Daybreak brings together the most capable OpenAI models, Codex, and our security partners to accelerate cyber defense and continuously secure software. A step toward a future where security teams can move at the speed defense demands.

Are you planning to transition into AI/ML in 2026? Be honest.

@ClaudeCodeLog Small stability improvements often make the biggest difference for developers. Great to see continued focus on reliability and smoother CLI workflows in Claude Code.

Claude Code 2.1.138 is now available. 1 CLI change Highlights: • Internal CLI fixes improve command stability and reduce unexpected errors Complete details in thread ↓