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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.

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Lee Robinson

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157,638 görüntüleme • 7 ay önce •via X (Twitter)

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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.
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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.

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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.
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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.

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

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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`!
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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`!

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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:
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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:

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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.
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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.

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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
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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.
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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:
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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:

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

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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.
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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 🧵↓
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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 🧵↓

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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.
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