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You can use Cline without wifi now. Qwen3-coder-30b x LM Studio x Mac 36GB RAM x Cline = local AI coding <In this thread> 1. How @LMStudio works with local models 2. What you can get out of it in Cline 🧵

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45,188 次观看 • 10 个月前 •via X (Twitter)

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For a long time, local models were basically unusable in Cline. But these models are getting better & smaller 👀 model: lmstudio-community/Qwen3-30B-A3B-GGUF (3-bit, 14.58 GB) hardware: MacBook Pro (M4 Max, 36GB RAM) (run via LM Studio)

For a long time, local models were basically unusable in Cline. But these models are getting better & smaller 👀 model: lmstudio-community/Qwen3-30B-A3B-GGUF (3-bit, 14.58 GB) hardware: MacBook Pro (M4 Max, 36GB RAM) (run via LM Studio)

Cline

49,988 次观看 • 1 年前

You can run a free and open-source alternative to Claude Code locally on your laptop! - Local AI model w/ Qwen3 Coder - Runs on your machine w/ LM Studio - Open-source VS Code extension w/ Cline Completely private (offline) and unlimited Setup and how it works: 00:00 Intro 01:11 LM Studio 02:10 Local AI model 03:38 Load the model 05:09 Start the server 05:33 Setup Cline 07:20 Prompt & example 09:02 Developer logs 10:12 Result reveal

You can run a free and open-source alternative to Claude Code locally on your laptop! - Local AI model w/ Qwen3 Coder - Runs on your machine w/ LM Studio - Open-source VS Code extension w/ Cline Completely private (offline) and unlimited Setup and how it works: 00:00 Intro 01:11 LM Studio 02:10 Local AI model 03:38 Load the model 05:09 Start the server 05:33 Setup Cline 07:20 Prompt & example 09:02 Developer logs 10:12 Result reveal

Paul Couvert

72,498 次观看 • 9 个月前

Built FlickAI in 24 hours at the Cerebras x Cline Vibe Coder Hackathon ▨ A desktop AI assistant that: • Sees what’s on your screen • Wakes up instantly • Helps with coding, emails, notes anything and everything. Built this with my teammate samarth

Built FlickAI in 24 hours at the Cerebras x Cline Vibe Coder Hackathon ▨ A desktop AI assistant that: • Sees what’s on your screen • Wakes up instantly • Helps with coding, emails, notes anything and everything. Built this with my teammate samarth

Maaz (agentic arc)

28,238 次观看 • 5 个月前

Live on Cline (v3.67.1) OpenAI 's GPT 5.3 Codex. The speed and token efficiency improvements are real. Here is what's new: > 25% faster than 5.2 Codex > #1 on SWE-Bench Pro (4 different programming languages) > Fewer tokens per task than any prior OpenAI model Runs cost less and finish faster. You can use it in Cline right now without setting up an API key. Select the model and try it on your repo.

Live on Cline (v3.67.1) OpenAI 's GPT 5.3 Codex. The speed and token efficiency improvements are real. Here is what's new: > 25% faster than 5.2 Codex > #1 on SWE-Bench Pro (4 different programming languages) > Fewer tokens per task than any prior OpenAI model Runs cost less and finish faster. You can use it in Cline right now without setting up an API key. Select the model and try it on your repo.

Cline

21,291 次观看 • 4 个月前

Looking for a seamless way to use local models in your development? With the AI Toolkit extension, you can now access the power of Foundry Local models, directly in Visual Studio Code. Read more in the latest blog:

Looking for a seamless way to use local models in your development? With the AI Toolkit extension, you can now access the power of Foundry Local models, directly in Visual Studio Code. Read more in the latest blog:

Visual Studio Code

26,628 次观看 • 10 个月前

Gemini 2.5 Pro, our best coding model, is now available to all users! You can find it for free in the Gemini app as well as in Google AI Studio. Gemini Advanced users also now have access to it in Canvas mode. Cursor, @windsurf and Cline also added 2.5 Pro support this week!

Gemini 2.5 Pro, our best coding model, is now available to all users! You can find it for free in the Gemini app as well as in Google AI Studio. Gemini Advanced users also now have access to it in Canvas mode. Cursor, @windsurf and Cline also added 2.5 Pro support this week!

Addy Osmani

291,368 次观看 • 1 年前

$FYI, you can use DeepSeek R1 (deepseek/deepseek-r1:free) and V3 (deepseek/deepseek-chat:free) for free in Cline. These models deliver performance close to Claude Sonnet 3.5/3.7 but at a fraction of the cost—or in this case, completely free. Just a heads-up: performance may slow down during peak traffic.$

FYI, you can use DeepSeek R1 (deepseek/deepseek-r1:free) and V3 (deepseek/deepseek-chat:free) for free in Cline. These models deliver performance close to Claude Sonnet 3.5/3.7 but at a fraction of the cost—or in this case, completely free. Just a heads-up: performance may slow down during peak traffic.

Cline

104,917 次观看 • 1 年前

Cerebras Inference powers the world's top models - like Qwen3 Coder at 2000 tokens/s 🤯 And you can now access these models directly in Visual Studio Code with the extension and an API key (that you can get for free from

Cerebras Inference powers the world's top models - like Qwen3 Coder at 2000 tokens/s 🤯 And you can now access these models directly in Visual Studio Code with the extension and an API key (that you can get for free from

Visual Studio Code

57,360 次观看 • 10 个月前

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,399 次观看 • 7 个月前

🔥 INSANE: Free Kimi K2.6 might be the best open-source AI coder right now. It runs on NVIDIA’s own servers with a free API endpoint. No subscription. No credit card. No complicated setup. And because it’s OpenAI-compatible, you can plug it into tools like Claude Code, Roo, and Cline fast. This is one AI coding model I’d actually test ASAP.

🔥 INSANE: Free Kimi K2.6 might be the best open-source AI coder right now. It runs on NVIDIA’s own servers with a free API endpoint. No subscription. No credit card. No complicated setup. And because it’s OpenAI-compatible, you can plug it into tools like Claude Code, Roo, and Cline fast. This is one AI coding model I’d actually test ASAP.

Julian Goldie SEO

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You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

You can run local AI models up to 120B without a $10,000 Mac Studio This phone-sized device is your own server for open-source models. 100% local and private. And you can use it to: - Power an agent like OpenClaw 24/7 - Completely replace a chatbot - Literally anything that requires an API It’s called Tiiny, and, once again, you can run the latest open-source models on it. Link below

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Day 1/6 of CodeGuide 2.0 🧡 Introducing Codie - AI Agent that can help you Code on any AI Coding tool Just Screen Share and Ask for Realtime help: - Setting up Project Files - Debugging Errors - Deployment etc In this Demo I used CodeGuide x StackBlitz to show you how it works You can also use Codie with: - Cursor AI - Windsurf - Lovable - Replit - v0 Enjoy.

Day 1/6 of CodeGuide 2.0 🧡 Introducing Codie - AI Agent that can help you Code on any AI Coding tool Just Screen Share and Ask for Realtime help: - Setting up Project Files - Debugging Errors - Deployment etc In this Demo I used CodeGuide x StackBlitz to show you how it works You can also use Codie with: - Cursor AI - Windsurf - Lovable - Replit - v0 Enjoy.

CJ Zafir

23,084 次观看 • 1 年前

Why I use Cline - a free VS Code plugin - for AI engineering. Saoud Rizwan has: Flexible context management: It lets you include only what's relevant, making it ideal for large codebases. Attach files, folders, URLs and problems. Visualizes how much of the context window you've used too. Model flexibility: Cline isn't tied to one provider; it supports models from Anthropic, DeepSeek, Google Gemini, OpenAI, local models (via ollama or LM Studio) and more, allowing you to switch models for cost efficiency and capability. Plan/Act Modes: The v3.2.6 update introduces modes for designing solutions (Plan) or direct implementation (Act), providing control when you need it most. DeepSeek-R1 (Plan) + Claude 3.5 Sonnet (Act) workflow: This hybrid approach can reduce costs by up to 97% while improving output quality. DeepSeek as an architect, Sonnet for implementation. Checkpoints: Beyond git, Cline captures workspace states, offering granular rollback and comparison, especially useful for exploring solutions or debugging. Runtime awareness: Cline's integration with running systems is a game-changer, allowing real-time interaction with browsers (automatically check UI, interactions) and terminals to verify changes. Model Context Protocol (MCP): This allows for custom tool integration, making Cline extensible for specific enterprise needs without complex prompt engineering. How does it compare to alternatives? Cline shines with its system-level integration, model flexibility, and control, though it requires more attention to model selection and cost. My take: Cline aligns with professional engineering practices, offering control, visibility, and extensibility for complex system development. Totally worth considering for serious engineering teams.

Why I use Cline - a free VS Code plugin - for AI engineering. Saoud Rizwan has: Flexible context management: It lets you include only what's relevant, making it ideal for large codebases. Attach files, folders, URLs and problems. Visualizes how much of the context window you've used too. Model flexibility: Cline isn't tied to one provider; it supports models from Anthropic, DeepSeek, Google Gemini, OpenAI, local models (via ollama or LM Studio) and more, allowing you to switch models for cost efficiency and capability. Plan/Act Modes: The v3.2.6 update introduces modes for designing solutions (Plan) or direct implementation (Act), providing control when you need it most. DeepSeek-R1 (Plan) + Claude 3.5 Sonnet (Act) workflow: This hybrid approach can reduce costs by up to 97% while improving output quality. DeepSeek as an architect, Sonnet for implementation. Checkpoints: Beyond git, Cline captures workspace states, offering granular rollback and comparison, especially useful for exploring solutions or debugging. Runtime awareness: Cline's integration with running systems is a game-changer, allowing real-time interaction with browsers (automatically check UI, interactions) and terminals to verify changes. Model Context Protocol (MCP): This allows for custom tool integration, making Cline extensible for specific enterprise needs without complex prompt engineering. How does it compare to alternatives? Cline shines with its system-level integration, model flexibility, and control, though it requires more attention to model selection and cost. My take: Cline aligns with professional engineering practices, offering control, visibility, and extensibility for complex system development. Totally worth considering for serious engineering teams.

Addy Osmani

53,487 次观看 • 1 年前

Today we're excited to introduce Multi-Model Sessions! — Load & prompt multiple local LLMs simultaneously — Use the API to build networks, pipelines of LLMs that can talk with each other — Use the new JSON Mode to constrain each model's output format LM Studio 0.2.17 is available for Mac, Windows, and Linux. Get it here:

Today we're excited to introduce Multi-Model Sessions! — Load & prompt multiple local LLMs simultaneously — Use the API to build networks, pipelines of LLMs that can talk with each other — Use the new JSON Mode to constrain each model's output format LM Studio 0.2.17 is available for Mac, Windows, and Linux. Get it here:

LM Studio

89,817 次观看 • 2 年前

Streamlined the installation process of my IDA Pro MCP server. You can now start experimenting with vibe reversing in less than 2 minutes!🤯 This was using Claude for testing, but Cline and Roo Code are also configured automatically!

Streamlined the installation process of my IDA Pro MCP server. You can now start experimenting with vibe reversing in less than 2 minutes!🤯 This was using Claude for testing, but Cline and Roo Code are also configured automatically!

Duncan Ogilvie 🍍

32,379 次观看 • 1 年前

Unpopular opinion: VS Code is holding back AI coding. I’ve been spinning up multiple Cline instances across tmux panes and terminal tabs. Each agent has its own isolated state and can run a different task, branch, or idea in parallel. They just keep going while I focus on something else, no context collisions, no babysitting a single chat thread. You can pipe input, chain output, or run them headless in CI/CD. It fits into the workflow I already use in the terminal. Getting started literally took me 30 seconds: npm install -g cline AI is finally just another process in my workflow, instead of a panel or plugin.

Unpopular opinion: VS Code is holding back AI coding. I’ve been spinning up multiple Cline instances across tmux panes and terminal tabs. Each agent has its own isolated state and can run a different task, branch, or idea in parallel. They just keep going while I focus on something else, no context collisions, no babysitting a single chat thread. You can pipe input, chain output, or run them headless in CI/CD. It fits into the workflow I already use in the terminal. Getting started literally took me 30 seconds: npm install -g cline AI is finally just another process in my workflow, instead of a panel or plugin.

Tech with Mak

43,068 次观看 • 5 个月前

BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗

BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗

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41,201 次观看 • 10 个月前