Загрузка видео...

Не удалось загрузить видео

На главную

Bug fixes shipping to Grok Build 0.2.13 (release notes will be available in the TUI and on change-log website) We are leveraging the alt-screen to better handle your background tasks, subagents, monitors with smart grouping allowing you to navigate between them quickly • Group Subagents → Tasks → Watchers,...

skcd42's profile picture

skcd

28,112 subscribers

15,075 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Cursor now uses subagents to complete parts of a task in parallel. Subagents lead to faster overall execution and better context usage. They also let agents work on longer-running tasks. Also new: Cursor can generate images, ask clarifying questions, and more.
0:15

Cursor now uses subagents to complete parts of a task in parallel. Subagents lead to faster overall execution and better context usage. They also let agents work on longer-running tasks. Also new: Cursor can generate images, ask clarifying questions, and more.

Cursor

816,504 просмотров • 5 месяцев назад

Tasks can now spawn async subagents that move to the background and continue working independently, even if the main agent finishes its task and becomes inactive. This lets subagents handle long-running tasks, great for monitoring logs or waiting for builds.
0:17

Tasks can now spawn async subagents that move to the background and continue working independently, even if the main agent finishes its task and becomes inactive. This lets subagents handle long-running tasks, great for monitoring logs or waiting for builds.

Claude

349,224 просмотров • 6 месяцев назад

Claude Code Weekly Roundup Last week we added support for Azure, let you use "&" in the CLI to send tasks to the background, added image upload to Claude Code Web, improved Claude Code's ability to look up its docs and we're continuing to make hooks and subagents more powerful.
0:12

Claude Code Weekly Roundup Last week we added support for Azure, let you use "&" in the CLI to send tasks to the background, added image upload to Claude Code Web, improved Claude Code's ability to look up its docs and we're continuing to make hooks and subagents more powerful.

Thariq

70,840 просмотров • 7 месяцев назад

Introducing /goal in Grok Build. Execute long-running tasks autonomously, with multiple rounds of subagents implementing and verifying a single goal.
0:10

Introducing /goal in Grok Build. Execute long-running tasks autonomously, with multiple rounds of subagents implementing and verifying a single goal.

Grok

4,023,511 просмотров • 11 дней назад

New agent mode and IDE enhancements in Code Assist! → Agent mode: Analyzes full codebase to handle multi-file tasks from one prompt IDE Enhancements: Control context via .aiexclude, attach terminal output & enjoy a smoother UI
0:18

New agent mode and IDE enhancements in Code Assist! → Agent mode: Analyzes full codebase to handle multi-file tasks from one prompt IDE Enhancements: Control context via .aiexclude, attach terminal output & enjoy a smoother UI

Google Cloud Tech

177,778 просмотров • 11 месяцев назад

We've updated /fork in Claude Code /fork now runs a background agent with your exact context (system prompt, tools, history, model) and prompt cache. The result gets returned to your session. /branch (the old /fork) still copies the transcript to a new session you drive.
0:16

We've updated /fork in Claude Code /fork now runs a background agent with your exact context (system prompt, tools, history, model) and prompt cache. The result gets returned to your session. /branch (the old /fork) still copies the transcript to a new session you drive.

ClaudeDevs

376,713 просмотров • 1 месяц назад

subagents are just recursive agents where you can apply different prompts + models depending on the task. since they’re just a primitive, Cursor cli can actually spawn subagents by calling cursor-agent in headless mode via shell commands. that’s what makes the cli so nice. you can extend it, experiment, and have a lot of fun exploring orchestration patterns. here’s one way to do it w. dynamic model selection: 1. create a subagents.mdc rule 2. drop in: ``` --- alwaysApply: true --- ALWAYS spawn subagents by running `cursor-agent -p [task] --output-format=text --force --model [model]` in the terminal. Each subagent should return a summary of the changes it made. Subagents should be used for ALL tasks You can adopt a fan-out pattern where you spawn subagents to perform parallel isolated tasks, and then fan-in the results. Use the following models: - `--model gpt-5` for reasoning, researching, and planning - `--model sonnet-4` for implementation ``` 3. start cursor cli and try it out you can also adjust the rule to be more explicit when it should use subagents, when not to, which models when etc.
0:15

subagents are just recursive agents where you can apply different prompts + models depending on the task. since they’re just a primitive, Cursor cli can actually spawn subagents by calling cursor-agent in headless mode via shell commands. that’s what makes the cli so nice. you can extend it, experiment, and have a lot of fun exploring orchestration patterns. here’s one way to do it w. dynamic model selection: 1. create a subagents.mdc rule 2. drop in: ``` --- alwaysApply: true --- ALWAYS spawn subagents by running `cursor-agent -p [task] --output-format=text --force --model [model]` in the terminal. Each subagent should return a summary of the changes it made. Subagents should be used for ALL tasks You can adopt a fan-out pattern where you spawn subagents to perform parallel isolated tasks, and then fan-in the results. Use the following models: - `--model gpt-5` for reasoning, researching, and planning - `--model sonnet-4` for implementation ``` 3. start cursor cli and try it out you can also adjust the rule to be more explicit when it should use subagents, when not to, which models when etc.

eric zakariasson

54,017 просмотров • 10 месяцев назад

Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3
0:12

Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Brian Roemmele

152,242 просмотров • 5 месяцев назад

Introducing Agent Skills for Firebase 🔥 Agent skills are specialized instructions you can give to your favorite AI agents to help them better understand Firebase and then execute tasks more effectively. This means more accurate code, fewer token usage, and more money saved 💰
0:19

Introducing Agent Skills for Firebase 🔥 Agent skills are specialized instructions you can give to your favorite AI agents to help them better understand Firebase and then execute tasks more effectively. This means more accurate code, fewer token usage, and more money saved 💰

Firebase

31,122 просмотров • 4 месяцев назад

pro tips when you are out of context in Claude Code: instead of running /compact, run /export and copy the chat in your clipboard then /clear → paste and add "continue" to the prompt see the magic happens
0:16

pro tips when you are out of context in Claude Code: instead of running /compact, run /export and copy the chat in your clipboard then /clear → paste and add "continue" to the prompt see the magic happens

Melvyn • Builder

173,823 просмотров • 6 месяцев назад

Stop endless app switching. You can now ask Gemini to complete complex tasks for you across two apps - with one prompt. Look up a location on Maps AND text it to a friend. Ask a question about a video AND save it to notes. What two-in-one tasks will you be asking Gemini?
0:15

Stop endless app switching. You can now ask Gemini to complete complex tasks for you across two apps - with one prompt. Look up a location on Maps AND text it to a friend. Ask a question about a video AND save it to notes. What two-in-one tasks will you be asking Gemini?

Android

183,847 просмотров • 1 год назад

You don’t have to use one model (or one provider!) for everything. With Workshop, you can combine frontier and local models in the same workflow. For example: Opus can be the main agent, and delegate specific tasks to Gemma 4 via subagents. Better quality where it matters. Better privacy, speed, and cost where it counts. One workflow, best model for each task.
0:18

You don’t have to use one model (or one provider!) for everything. With Workshop, you can combine frontier and local models in the same workflow. For example: Opus can be the main agent, and delegate specific tasks to Gemma 4 via subagents. Better quality where it matters. Better privacy, speed, and cost where it counts. One workflow, best model for each task.

Workshop AI

799,762 просмотров • 2 месяцев назад

Product update: You can now select which agent to run your scheduled tasks for better credit management! Settings > scheduled tasks > advanced settings Try it now!
0:12

Product update: You can now select which agent to run your scheduled tasks for better credit management! Settings > scheduled tasks > advanced settings Try it now!

Manus

60,902 просмотров • 5 месяцев назад

OpenCode can already spawn background subagents, but I just opened a PR letting you send synchronous tasks to the background. But more interestingly, this video was recorded + edited by 𝚘𝚙𝚎𝚗𝚌𝚘𝚍𝚎 running 𝚘𝚙𝚎𝚗𝚌𝚘𝚍𝚎 with 𝚝𝚎𝚛𝚖𝚒𝚗𝚊𝚕-𝚌𝚘𝚗𝚝𝚛𝚘𝚕.
0:11

OpenCode can already spawn background subagents, but I just opened a PR letting you send synchronous tasks to the background. But more interestingly, this video was recorded + edited by 𝚘𝚙𝚎𝚗𝚌𝚘𝚍𝚎 running 𝚘𝚙𝚎𝚗𝚌𝚘𝚍𝚎 with 𝚝𝚎𝚛𝚖𝚒𝚗𝚊𝚕-𝚌𝚘𝚗𝚝𝚛𝚘𝚕.

Kit Langton

39,419 просмотров • 1 месяц назад

Claude Code has a new wild feature... dynamic workflow. How to try: set /model to opus 4.8 set /effort to "ultracode" 😂 use “workflow” in your prompt Claude will write an orchestration script, spawn subagents swarm, verify results, and report back.
0:14

Claude Code has a new wild feature... dynamic workflow. How to try: set /model to opus 4.8 set /effort to "ultracode" 😂 use “workflow” in your prompt Claude will write an orchestration script, spawn subagents swarm, verify results, and report back.

Min Choi

349,280 просмотров • 1 месяц назад

📡Web Scraping is Live in the app and API You can now turn any URL into AI context on Venice Just include a URL in your prompt, and Venice will automatically scrape the page to include as context for your request
0:14

📡Web Scraping is Live in the app and API You can now turn any URL into AI context on Venice Just include a URL in your prompt, and Venice will automatically scrape the page to include as context for your request

Venice

39,679 просмотров • 8 месяцев назад

Most prompt optimizers are designed to evolve a single prompt. This algorithm literally simulates a market (auctions, bids, wallets) to optimize multi-agent prompt systems to collaboratively complete tasks!
0:18

Most prompt optimizers are designed to evolve a single prompt. This algorithm literally simulates a market (auctions, bids, wallets) to optimize multi-agent prompt systems to collaboratively complete tasks!

AVB

101,973 просмотров • 28 дней назад

Grok Build v0.2.80 is very much a “make the workflow stop annoying people” update. Command timeouts can now be configured per session. Background tasks and TODO lists survive compaction. Contextual hints can be toggled for undo, plan mode, and image input. Subagent transcripts open properly. Recap blocks copy cleaner. Vim keys behave. Network connections got tougher. Tiny fixes on paper. Huge difference when you are actually trying to build without fighting the tool. Grok xAI X Freeze / Writer: Annette, Designer: Janné
0:19

Grok Build v0.2.80 is very much a “make the workflow stop annoying people” update. Command timeouts can now be configured per session. Background tasks and TODO lists survive compaction. Contextual hints can be toggled for undo, plan mode, and image input. Subagent transcripts open properly. Recap blocks copy cleaner. Vim keys behave. Network connections got tougher. Tiny fixes on paper. Huge difference when you are actually trying to build without fighting the tool. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Mario Nawfal

47,061 просмотров • 7 часов назад

You can now delegate tasks to GitHub Copilot coding agent from any page on GitHub 🤖 Open the new Agents panel in one click, write a simple prompt, then hit Enter. GitHub Copilot works in the background, and opens a PR for your review. No interruptions to your workflow required. ✅
0:11

You can now delegate tasks to GitHub Copilot coding agent from any page on GitHub 🤖 Open the new Agents panel in one click, write a simple prompt, then hit Enter. GitHub Copilot works in the background, and opens a PR for your review. No interruptions to your workflow required. ✅

GitHub

112,727 просмотров • 10 месяцев назад

✅ Big version jump. Whats new?! XRP Ledger is now in version 3.0! with some major introductions. New are the so called 'unsupported' amendments👀: - Lending and Borrowing on XRP, essentially Loans on chain. - DynamicMPTs, similar to Dynamic NFTs. these amendments are introduced, but not completed in development and not available to be voted on yet. in XRP 3.0 there are also a list of normal fix amendments, among them: fix for the TokenEscrow amendment. fix for PriceOracles. fix for MPTs. fix for clawback tokens in AMMs. the changes list is long and i want to thank everyone who contributed to this release. Hard work and effort went in to make the XRP Ledger a robust, reliable and innovative rail for on chain finance ❤️
0:13

✅ Big version jump. Whats new?! XRP Ledger is now in version 3.0! with some major introductions. New are the so called 'unsupported' amendments👀: - Lending and Borrowing on XRP, essentially Loans on chain. - DynamicMPTs, similar to Dynamic NFTs. these amendments are introduced, but not completed in development and not available to be voted on yet. in XRP 3.0 there are also a list of normal fix amendments, among them: fix for the TokenEscrow amendment. fix for PriceOracles. fix for MPTs. fix for clawback tokens in AMMs. the changes list is long and i want to thank everyone who contributed to this release. Hard work and effort went in to make the XRP Ledger a robust, reliable and innovative rail for on chain finance ❤️

Vet

35,810 просмотров • 6 месяцев назад