Today, we're announcing plans to make VS Code an open source AI editor. We believe AI development should stay true to VS Code's core principles: open, collaborative, and community-driven. Let's build the future of software development together. aka.ms/open-source-ai…

Microsoft is open sourcing Copilot for VS Code (Satya Nadella just announced this on BUILD) Just like the VS Code open sourcing, this is counter-intuitive on why: now MUCH easier for startups to create “improved clones” of Copilot BUT it makes VS Code more dominant: (cont’d)

Visual Studio Code is open-sourcing its Copilot "secret sauce," and I think it's the best news we'll get this month. Copilot will be part of Visual Studio Code itself. The assistant's code will be included in any new forks going forward. This is huge for several reasons: 1. Anyone can now

Can't wait for the #Apple Developer Conference after these huge announcements from #Microsoft and #Google earlier this week 😬 #WWDC25 #GoogleIO2025 #GoogleIO

BREAKING: Mark Zuckerberg notified Meta staff today to introduce them to the new superintelligence team. The memo, which WIRED obtained, lists names and bios for the recently hired employees, many of whom came from rival AI firms like OpenAI, Anthropic, and Google.

I use Grok every day. Here are 10 powerful prompts I can’t live without and how you can use them too: (Bookmark this for later 🔖)

1) Amazon Aktie fällt 8% 📉 Die Gründe: 🛜AWS enttäuscht: Wachstum ist mit 17,5 % ist langsamer als bei MSFT und GOOG. 💸 Hohe Ausgaben: Amazon plant über 100 Mrd. USD Investitionen ⚠️ Verhaltene Prognose: Deshalb liegt der operative Gewinn für Q3 lag unter den

S&P 500 hits its most expensive valuation in 4 years 🚨🚨

New York 🇺🇸 Such an office room

us-east-1 is down and the whole tech TL is crashing out

Reliability Engineering: So important. Especially today. 🚀 #ReliabilityFirst #CloudComputing

🚀 DeepSeek-OCR — the new frontier of OCR from DeepSeek , exploring optical context compression for LLMs, is running blazingly fast on vLLM ⚡ (~2500 tokens/s on A100-40G) — powered by vllm==0.8.5 for day-0 model support. 🧠 Compresses visual contexts up to 20× while keeping

kvcached works directly with vLLM and you can use it to serve multiple models on the same GPU. They will share unused KV cache blocks. Check it out!

🚨 Breaking: Amazon plant bis zum Jahr 2033 unglaubliche 600.000 Jobs in den USA durch Roboter zu ersetzen.  Details zu Amazons Automatisierungsplänen: golem.de/news/roboter-s… Was denkst du? #Automatisierung #Amazon Image via Grok / xAI

After an interview with Andrej Karpathy, everyone is talking about what AI agents can/can't do. But an opinion without data is just a hypothesis. So, I tested 3x185 workflow executions for a market researcher agent. The results have shocked me🧵

It's more like 60/40 Coding agents could never work as workflows Lots of workflows I run would be much worse as agents But it's true that most people underestimate workflows

Last month, Google dropped something interesting: five AI Agent papers released across five consecutive days, one per day, each digging into a different part of how agents should be built, evaluated, secured, and deployed. No big splash, just a steady rollout of more than 250

𝗦𝗵𝗼𝗽𝗶𝗳𝘆 𝗵𝗶𝘁 𝟰𝟴𝟵𝗠 𝗿𝗲𝗾𝘂𝗲𝘀𝘁𝘀/𝗺𝗶𝗻 𝗱𝘂𝗿𝗶𝗻𝗴 𝗕𝗹𝗮𝗰𝗸 𝗙𝗿𝗶𝗱𝗮𝘆 𝗼𝗻 𝗮 𝗺𝗼𝗻𝗼𝗹𝗶𝘁𝗵 Many engineers assume this scale forces microservices. Shopify keeps proving a different playbook: 𝗼𝗻𝗲 𝗱𝗲𝗽𝗹𝗼𝘆, 𝘀𝘁𝗿𝗼𝗻𝗴 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝗶𝗲𝘀,

don't blame the system, blame ceo

OpenAI and Anthropic engineers don't prompt like everyone else. I've been reverse-engineering their techniques for 2.5 years across all AI models. Here are 5 prompting methods that get you AI engineer-level results: