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With TRAE Max Mode you can now scale your context window from 200k → 1M for deep coding, longer reasoning, and complex projects. You can stay in control with full transparency on token usage, cost, and fast requests right after each conversation.

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14,411 görüntüleme • 11 ay önce •via X (Twitter)

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You can now organize chats with Claude into shareable Projects. Each project includes a 200K context window, so you can include relevant documents, code, and files.
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You can now organize chats with Claude into shareable Projects. Each project includes a 200K context window, so you can include relevant documents, code, and files.

Anthropic

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Now you can track your OpenCode and Claude CLI coding sessions in one place. provides searchable history, markdown export, and eval-ready datasets. See tool usage, token spend, and session activity across projects. Check out the demo.
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Now you can track your OpenCode and Claude CLI coding sessions in one place. provides searchable history, markdown export, and eval-ready datasets. See tool usage, token spend, and session activity across projects. Check out the demo.

Wayne Sutton

130,405 görüntüleme • 7 ay önce

You can now take any coding agent on the go with Warp's /remote control. Share your session, view on the web or your phone, and even join teammates on the same conversation with live cursors. Supports CC, Codex, @OpenCode, etc.
1:02

You can now take any coding agent on the go with Warp's /remote control. Share your session, view on the web or your phone, and even join teammates on the same conversation with live cursors. Supports CC, Codex, @OpenCode, etc.

Warp

438,230 görüntüleme • 4 ay önce

CHINA JUST DROPPED AN AI CODING MODEL WITH A 1M CONTEXT WINDOW. And I connected it to Claude Code to see what it could actually do. Meet GLM-X Preview On paper, a few things immediately stood out: → 1M context window → Agentic coding capabilities → Works inside Claude Code → Designed for large-scale coding and reasoning workflows But specs don't matter much if the model can't deliver in practice. So I gave it a real-world task. THE TEST One prompt: > Build a modern AI lead generation dashboard using React and Tailwind CSS. Requirements: → Dark mode → Analytics dashboard → Lead table → Email outreach section → Responsive design → Production-ready component structure Instead of generating a few snippets, it planned the architecture, generated the dashboard components, created the Tailwind configuration, and walked through the implementation requirements. What impressed me most wasn't the code itself. It was how well it maintained context throughout the workflow. That's where a 1M context window starts becoming useful. Less time re-explaining requirements. Less context loss. More room for complex projects. The AI coding race is getting very interesting. And it's no longer just GPT, Claude, and Gemini competing for attention. Results from my test below 👇
0:33

CHINA JUST DROPPED AN AI CODING MODEL WITH A 1M CONTEXT WINDOW. And I connected it to Claude Code to see what it could actually do. Meet GLM-X Preview On paper, a few things immediately stood out: → 1M context window → Agentic coding capabilities → Works inside Claude Code → Designed for large-scale coding and reasoning workflows But specs don't matter much if the model can't deliver in practice. So I gave it a real-world task. THE TEST One prompt: > Build a modern AI lead generation dashboard using React and Tailwind CSS. Requirements: → Dark mode → Analytics dashboard → Lead table → Email outreach section → Responsive design → Production-ready component structure Instead of generating a few snippets, it planned the architecture, generated the dashboard components, created the Tailwind configuration, and walked through the implementation requirements. What impressed me most wasn't the code itself. It was how well it maintained context throughout the workflow. That's where a 1M context window starts becoming useful. Less time re-explaining requirements. Less context loss. More room for complex projects. The AI coding race is getting very interesting. And it's no longer just GPT, Claude, and Gemini competing for attention. Results from my test below 👇

Md Riyazuddin

31,199 görüntüleme • 2 ay önce

CLAUDE CODE IS NOW FREE AND YOU CAN BUILD AN ENTIRE AI CODING SYSTEM WITH 1M CONTEXT, AGENT OS AND OBSIDIAN MEMORY WITHOUT PAYING FOR ANY OF IT. The stack gets smarter over time and costs you nothing to run.
0:34

CLAUDE CODE IS NOW FREE AND YOU CAN BUILD AN ENTIRE AI CODING SYSTEM WITH 1M CONTEXT, AGENT OS AND OBSIDIAN MEMORY WITHOUT PAYING FOR ANY OF IT. The stack gets smarter over time and costs you nothing to run.

0xMarioNawfal

51,201 görüntüleme • 2 ay önce

🤖 Meet Agent Mode in JetBrains AI Assistant for VS Code! 🔗 Go beyond simple code completion and delegate complex coding tasks to our AI agent that can: ✨ Analyze your entire codebase ✨ Make multi-file edits simultaneously ✨ Handle intricate refactoring operations ✨ Solve complex programming challenges under your supervision Think of it as having an intelligent coding partner that understands your project context and can execute sophisticated tasks while you maintain full control.
0:45

🤖 Meet Agent Mode in JetBrains AI Assistant for VS Code! 🔗 Go beyond simple code completion and delegate complex coding tasks to our AI agent that can: ✨ Analyze your entire codebase ✨ Make multi-file edits simultaneously ✨ Handle intricate refactoring operations ✨ Solve complex programming challenges under your supervision Think of it as having an intelligent coding partner that understands your project context and can execute sophisticated tasks while you maintain full control.

JetBrains

15,129 görüntüleme • 1 yıl önce

🎉 Congrats to MiniMax (official) on releasing MiniMax M3! Frontier coding and agentic capabilities, native image and video input, computer use, and a 1M-token context window, all in a single open model. At the heart of M3 is MSA, a new sparse attention architecture: instead of attending densely over the full KV cache, each query scores 128-token KV blocks and runs attention only over the top blocks. That is what makes 1M-token context practical to serve. M3 runs in vLLM with day-0 support, verified on NVIDIA and AMD hardware: ✨ MSA sparse attention with dedicated prefill and decode kernels ✨ 1M-token context serving with prefix caching and chunked prefill ✨ BF16 and MXFP8 checkpoints, with MoE backends for both Hopper and Blackwell ✨ Native multimodal input (image + video) ✨ Tool calling, reasoning parsing, and thinking-mode control for agent workloads Day-0 support like this is a true team effort. Grateful to the teams at MiniMax (official), NVIDIA AI, AI at AMD, and Inferact, and to the vLLM community for making it happen. 🙏 Deep dive into the implementation, kernel work, and deployment recipes: 🔗
0:21

🎉 Congrats to MiniMax (official) on releasing MiniMax M3! Frontier coding and agentic capabilities, native image and video input, computer use, and a 1M-token context window, all in a single open model. At the heart of M3 is MSA, a new sparse attention architecture: instead of attending densely over the full KV cache, each query scores 128-token KV blocks and runs attention only over the top blocks. That is what makes 1M-token context practical to serve. M3 runs in vLLM with day-0 support, verified on NVIDIA and AMD hardware: ✨ MSA sparse attention with dedicated prefill and decode kernels ✨ 1M-token context serving with prefix caching and chunked prefill ✨ BF16 and MXFP8 checkpoints, with MoE backends for both Hopper and Blackwell ✨ Native multimodal input (image + video) ✨ Tool calling, reasoning parsing, and thinking-mode control for agent workloads Day-0 support like this is a true team effort. Grateful to the teams at MiniMax (official), NVIDIA AI, AI at AMD, and Inferact, and to the vLLM community for making it happen. 🙏 Deep dive into the implementation, kernel work, and deployment recipes: 🔗

vLLM

40,306 görüntüleme • 2 ay önce

multi-chat and web search are live in build mode the coding agent can now pull real-time info from the web to ground your session in the latest documentation and with multi-chat you can spin up a fresh conversation to explore a new feature or idea, and jump back to previous sessions whenever you need
0:51

multi-chat and web search are live in build mode the coding agent can now pull real-time info from the web to ground your session in the latest documentation and with multi-chat you can spin up a fresh conversation to explore a new feature or idea, and jump back to previous sessions whenever you need

Google AI Studio

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Introducing TRAE SOLO: the first all-in-one Context Engineer, built right into your dev workspace.🤖 SOLO thinks, plans, builds, tests, and ships complete software with deep context and the right tools. From idea to production, you only need one piece of software now.
4:09

Introducing TRAE SOLO: the first all-in-one Context Engineer, built right into your dev workspace.🤖 SOLO thinks, plans, builds, tests, and ships complete software with deep context and the right tools. From idea to production, you only need one piece of software now.

TRAE

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Want to control Codex remotely from your iPhone? Watch this. I built Codex Micro Mobile with Codex. → Switch tasks → Chat with agents → Customize action keys → Toggle Fast Mode → Change reasoning effort → Approve or reject requests All from your phone Would you like to try it on?
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Want to control Codex remotely from your iPhone? Watch this. I built Codex Micro Mobile with Codex. → Switch tasks → Chat with agents → Customize action keys → Toggle Fast Mode → Change reasoning effort → Approve or reject requests All from your phone Would you like to try it on?

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Want to use the latest cool AI models inside TRAE? You can now connect and run MiniMax-M2 (or any other OpenRouter model) in just minutes. This tutorial walks you through: - Setting up OpenRouter service provider - Adding your api key in TRAE - Selecting MiniMax-M2 in chat or coding mode — and building a 3D object with Three.js! Watch the full walkthrough ↓
3:21

Want to use the latest cool AI models inside TRAE? You can now connect and run MiniMax-M2 (or any other OpenRouter model) in just minutes. This tutorial walks you through: - Setting up OpenRouter service provider - Adding your api key in TRAE - Selecting MiniMax-M2 in chat or coding mode — and building a 3D object with Three.js! Watch the full walkthrough ↓

TRAE

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New today: Connect your go-to apps with Search & get even more done. For example, you can connect your Instacart account and generate a grocery list in AI Mode based on your conversation. Then AI Mode can add the items to your Instacart shopping cart and you can check out on their app/website.
0:38

New today: Connect your go-to apps with Search & get even more done. For example, you can connect your Instacart account and generate a grocery list in AI Mode based on your conversation. Then AI Mode can add the items to your Instacart shopping cart and you can check out on their app/website.

Robby Stein

52,031 görüntüleme • 1 ay önce

Woot! The multimodal party is really getting started now. Check out Gemini 1.5 pro in action below ⤵️ With a mind boggling 1M token context window you can talk to full length movies, podcasts, and a boat load of docs. Also props to Google for being ultra transparent about the demos this time.
1:59

Woot! The multimodal party is really getting started now. Check out Gemini 1.5 pro in action below ⤵️ With a mind boggling 1M token context window you can talk to full length movies, podcasts, and a boat load of docs. Also props to Google for being ultra transparent about the demos this time.

Bilawal Sidhu

20,910 görüntüleme • 2 yıl önce

🚨 BREAKING - AI CREATES COMPLEX END TO END SOFTWARE AI has graduated from a vibe-coding to buildin an ENTIRE SOFTWARE SYSTEM. You can now collaborate with team members to build - full stack apps with databases - scheduled cron jobs on your data - multiple apps (admin dashboards) on your DB - set up automated testing - store skills and rules for Abacus AI DeepAgent - collaborate with team members Abacus AI Deep Agent can now do it all - design, create, deploy, test and monitor complex software systems
1:34

🚨 BREAKING - AI CREATES COMPLEX END TO END SOFTWARE AI has graduated from a vibe-coding to buildin an ENTIRE SOFTWARE SYSTEM. You can now collaborate with team members to build - full stack apps with databases - scheduled cron jobs on your data - multiple apps (admin dashboards) on your DB - set up automated testing - store skills and rules for Abacus AI DeepAgent - collaborate with team members Abacus AI Deep Agent can now do it all - design, create, deploy, test and monitor complex software systems

Bindu Reddy

20,000 görüntüleme • 6 ay önce

Build. Ship. And now, Get Paid 💸 We’ve added Payment Service in TRAE SOLO. Now you can plug Stripe directly into your project in SOLO mode and start collecting money with an easy setup.
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Build. Ship. And now, Get Paid 💸 We’ve added Payment Service in TRAE SOLO. Now you can plug Stripe directly into your project in SOLO mode and start collecting money with an easy setup.

TRAE

120,597 görüntüleme • 11 ay önce

🚨 Big news for AI innovation: Claude Opus 4 and Claude Sonnet 4, Anthropic's most advanced models, are now available in Amazon Bedrock. These powerful models offer hybrid reasoning, 200K token context windows, and are designed for AI agents. From financial analysis to high-quality writing, to enhanced reasoning, coding, agentic capabilities and more—all with the enterprise-grade security of Amazon Web Services.
0:30

🚨 Big news for AI innovation: Claude Opus 4 and Claude Sonnet 4, Anthropic's most advanced models, are now available in Amazon Bedrock. These powerful models offer hybrid reasoning, 200K token context windows, and are designed for AI agents. From financial analysis to high-quality writing, to enhanced reasoning, coding, agentic capabilities and more—all with the enterprise-grade security of Amazon Web Services.

Amazon

123,056 görüntüleme • 1 yıl önce

GitHub Copilot now has a coding agent embedded right where you already collaborate with developers: on GitHub. And yes, you can access it from VS Code too. 🤖
0:50

GitHub Copilot now has a coding agent embedded right where you already collaborate with developers: on GitHub. And yes, you can access it from VS Code too. 🤖

Thomas Dohmke

662,979 görüntüleme • 1 yıl önce

Super excited to announce the latest features in Mistral AI le Chat: 🔍 Deep Research: dive into complex topics with our structured research reports, delivered with lightning-fast reactivity 🎙️ Voice mode: talk to Le Chat on the go, thanks to our new Voxtral model 🌍 Natively multilingual reasoning: get thoughtful answers in your preferred language, powered by our reasoning model Magistral 📂 Projects: keep your conversations organized and accessible with our new context-rich folders 🖼️ Advanced image editing: create and edit images with simple prompts
1:53

Super excited to announce the latest features in Mistral AI le Chat: 🔍 Deep Research: dive into complex topics with our structured research reports, delivered with lightning-fast reactivity 🎙️ Voice mode: talk to Le Chat on the go, thanks to our new Voxtral model 🌍 Natively multilingual reasoning: get thoughtful answers in your preferred language, powered by our reasoning model Magistral 📂 Projects: keep your conversations organized and accessible with our new context-rich folders 🖼️ Advanced image editing: create and edit images with simple prompts

Sophia Yang, Ph.D.

20,103 görüntüleme • 1 yıl önce