Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Cursor now natively supports git worktrees. You can run multiple agents in parallel, each with their own isolated copy of the codebase. This is great for comparing models or running the same model multiple times and picking the best result.

Lee Robinson

262,783 subscribers

157,638 views • 7 months ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Ollama 0.2 is here! Concurrency is now enabled by default. This unlocks 2 major features: Parallel requests Ollama can now serve multiple requests at the same time, using only a little bit of additional memory for each request. This enables use cases such as: - Handling multiple chat sessions at the same time - Hosting code completion LLMs for your team - Processing different parts of a document simultaneously - Running multiple agents at the same time Run multiple models Ollama now supports loading different models at the same time. This improves several use cases: - Retrieval Augmented Generation (RAG): both the embedding and text completion models can be loaded into memory simultaneously. - Agents: multiple versions of an agent can now run simultaneously - Running large and small models side-by-side Models are automatically loaded and unloaded based on requests and how much GPU memory is available.

Ollama 0.2 is here! Concurrency is now enabled by default. This unlocks 2 major features: Parallel requests Ollama can now serve multiple requests at the same time, using only a little bit of additional memory for each request. This enables use cases such as: - Handling multiple chat sessions at the same time - Hosting code completion LLMs for your team - Processing different parts of a document simultaneously - Running multiple agents at the same time Run multiple models Ollama now supports loading different models at the same time. This improves several use cases: - Retrieval Augmented Generation (RAG): both the embedding and text completion models can be loaded into memory simultaneously. - Agents: multiple versions of an agent can now run simultaneously - Running large and small models side-by-side Models are automatically loaded and unloaded based on requests and how much GPU memory is available.

ollama

219,389 views • 1 year ago

AgentFS copy-on-write overlay in action 🔥 Multiple AI agents working on the same codebase. Each with isolated changes, zero conflicts. Host files stay untouched.

AgentFS copy-on-write overlay in action 🔥 Multiple AI agents working on the same codebase. Each with isolated changes, zero conflicts. Host files stay untouched.

Pekka Enberg

62,310 views • 5 months ago

Tip: You can run multiple code agents in parallel. Works well with Gemini CLI, Claude Code + git-worktree.

Tip: You can run multiple code agents in parallel. Works well with Gemini CLI, Claude Code + git-worktree.

Addy Osmani

267,913 views • 11 months ago

Grok Build tip of the day: worktrees! If you're unfamiliar with worktrees, they're essentially lightweight copies of your repo, allowing you to run parallel agents within their own workspaces. Try it either in the home screen or using `grok -w`!

Grok Build tip of the day: worktrees! If you're unfamiliar with worktrees, they're essentially lightweight copies of your repo, allowing you to run parallel agents within their own workspaces. Try it either in the home screen or using `grok -w`!

akshey

2,542,069 views • 23 days ago

Maximizing your token throughput is one of the biggest productivity unlocks in Claude Code. So here's my guide to use multiple Claude Codes at the same time, effectively: - Run multiple Claude Code sessions at the same time, each on a different feature (Ghostty is great for this) - Use Claude Code's built in git worktrees to keep each instance isolated on its own branch (-w or --worktree flag) - Let Claude handle creating PRs or merging the worktree branches when you're done - Use the Claude Code Desktop app as your multi-agent control center Full guide below:

Maximizing your token throughput is one of the biggest productivity unlocks in Claude Code. So here's my guide to use multiple Claude Codes at the same time, effectively: - Run multiple Claude Code sessions at the same time, each on a different feature (Ghostty is great for this) - Use Claude Code's built in git worktrees to keep each instance isolated on its own branch (-w or --worktree flag) - Let Claude handle creating PRs or merging the worktree branches when you're done - Use the Claude Code Desktop app as your multi-agent control center Full guide below:

Avthar

10,723 views • 2 months ago

Having ChatGPT edit in Xcode is a game-changer Can edit across multiple apps and works with 4.5. It's just missing the ability to read the codebase, write multiple files and agents. For now, Alex is a great alternative.

Having ChatGPT edit in Xcode is a game-changer Can edit across multiple apps and works with 4.5. It's just missing the ability to read the codebase, write multiple files and agents. For now, Alex is a great alternative.

Meng To

40,579 views • 1 year ago

With the Codex app you can: - Multitask effortlessly: Work with multiple agents in parallel and keep agent changes isolated with worktrees - Create & use skills: package your tools + conventions into reusable capabilities ⁃ Set up automations: delegate repetitive work to Codex with scheduled workflows in the background

With the Codex app you can: - Multitask effortlessly: Work with multiple agents in parallel and keep agent changes isolated with worktrees - Create & use skills: package your tools + conventions into reusable capabilities ⁃ Set up automations: delegate repetitive work to Codex with scheduled workflows in the background

OpenAI

395,346 views • 4 months ago

We’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor. Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products.

We’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor. Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products.

Cursor

3,036,611 views • 1 month ago

Why settle for one Claude Code when you can run ten in parallel? We built Claude Squad — a manager for Claude Code & Aider tasks: • Supervise multiple agents in one place • Isolated git workspaces Free + open-source:

Why settle for one Claude Code when you can run ten in parallel? We built Claude Squad — a manager for Claude Code & Aider tasks: • Supervise multiple agents in one place • Isolated git workspaces Free + open-source:

mufeez

120,932 views • 1 year ago

Playing around with Git Worktrees in Cursor for parallelizing different agents with proper isolation

Playing around with Git Worktrees in Cursor for parallelizing different agents with proper isolation

David Gomes

128,470 views • 8 months ago

New in M365 Copilot: Council. You can run multiple models on the same prompt at the same time, so you can see where they align and diverge, and understand what each adds.

New in M365 Copilot: Council. You can run multiple models on the same prompt at the same time, so you can see where they align and diverge, and understand what each adds.

Satya Nadella

464,231 views • 2 months ago

We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.

We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.

OpenAI Developers

1,303,805 views • 4 months ago

takes vibe-coding a step further. Parallel AI teams, running directly in your browser. You can watch multiple agents think, build, and compete in real time, then pick the best result. Built by the MetaGPT and OpenManus teams. 3 wild use cases 🧵↓

takes vibe-coding a step further. Parallel AI teams, running directly in your browser. You can watch multiple agents think, build, and compete in real time, then pick the best result. Built by the MetaGPT and OpenManus teams. 3 wild use cases 🧵↓

Charly Wargnier

63,518 views • 5 months ago

Meet Replit Parallel Agents Build faster by running up to 10 agents in parallel Each agent gets its own copy of your app They work on their own computer Then merge their work agentically

Meet Replit Parallel Agents Build faster by running up to 10 agents in parallel Each agent gets its own copy of your app They work on their own computer Then merge their work agentically

Replit ⠕

705,521 views • 1 month ago

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

Om Patel

158,995 views • 2 months ago

starting from TODAY you can chat with multiple models in parallel on TypingMind! RELOAD the app now to see new features!

starting from TODAY you can chat with multiple models in parallel on TypingMind! RELOAD the app now to see new features!

Tony Dinh 🎯

21,678 views • 1 year ago

Tired of guessing which AI model is best? 🤔 We've got you covered! 👀 Here's a sneak peek of our new model comparison feature in action! Run the same prompt across multiple models and see which one works best for YOU. Which models are you excited to test? #Inferium #AI #Inference #Compare

Tired of guessing which AI model is best? 🤔 We've got you covered! 👀 Here's a sneak peek of our new model comparison feature in action! Run the same prompt across multiple models and see which one works best for YOU. Which models are you excited to test? #Inferium #AI #Inference #Compare

Inferium

12,325 views • 1 year ago

🎨 Introducing fal Sandbox. You can now instantly run the same input across multiple models. Compare hundreds of models from fal’s platform side-by-side for speed, quality, and cost.

🎨 Introducing fal Sandbox. You can now instantly run the same input across multiple models. Compare hundreds of models from fal’s platform side-by-side for speed, quality, and cost.

fal

816,792 views • 8 months ago

The best open source agent, now better with multi-model Chat. The latest release of II-Agent lets you use any model or subscription to build anything you can imagine. Use multiple models (Gemini 3 etc etc) on chat or build anything you can imagine with the agent.

The best open source agent, now better with multi-model Chat. The latest release of II-Agent lets you use any model or subscription to build anything you can imagine. Use multiple models (Gemini 3 etc etc) on chat or build anything you can imagine with the agent.

Intelligent Internet

125,744 views • 7 months ago

It’s now easier to move local agents to the cloud so they can keep working with your laptop closed. Prompt Cursor from your phone, run many agents in parallel, and get back PRs with demos of their work.

It’s now easier to move local agents to the cloud so they can keep working with your laptop closed. Prompt Cursor from your phone, run many agents in parallel, and get back PRs with demos of their work.

Cursor

897,664 views • 9 days ago