AMD’s latest blog outlines a simple local stack for coding assistants: LM Studio runs the model, Cline handles autonomous steps inside VS Code, and your AMD hardware does the heavy lifting. The post lists required drivers, a product/memory matrix, and model picks such as Qwen3-Coder 30B A3B and GLM 4.5 Air, plus a 10-minute setup checklist. If you’re in the UAE, the same instructions apply; just mind download sizes and power settings on thin-and-light laptops.
What AMD means by “vibe coding”
It’s AI pair-coding and tool use, locally. No cloud tokens, fewer privacy headaches, and predictable costs.
- Concept: intent in, working code out via local LLM + tools
- Why local: data stays on your machine; no recurring API bills
- Hardware: Ryzen AI laptops or Radeon/Radeon Pro GPUs supported
- Example models: Qwen3-Coder 30B A3B, GLM 4.5 Air (tool-use capable)
AMD frames vibe coding as the next step for pair programming where a local model coordinates with your editor and system tools to plan, create files, and iterate. Running it on a Ryzen AI laptop or a desktop with a Radeon card keeps source code on-device and avoids usage fees. The blog explicitly calls out the two model examples above as competent for autonomous tasks when paired with Cline in VS Code.
The stack: LM Studio + Cline + VS Code
Three parts. LM Studio hosts the model, Cline drives VS Code, and llama.cpp under the hood wants up-to-date AMD drivers.
- LM Studio: download model, start local server
- Cline for VS Code: plan/act modes, file edits, terminal use
- Drivers: Adrenalin 25.9.1+ or PRO 25.Q3+ for llama.cpp features
- Switch VS Code terminal to Git Bash for smoother automation
AMD’s checklist starts with installing Adrenalin 25.9.1 or newer to enable the latest llama.cpp features on Radeon. Commercial systems like HP ZBook Ultra G1a or Z2 Mini G1a should use PRO 25.Q3 or higher. Then install LM Studio, fetch the model from “LM Studio Community,” enable advanced server settings, and set context length and Flash Attention. In Cline, pick LM Studio as the provider, confirm the model, enable compact prompts as needed, and point the default terminal to Git Bash before flipping from Plan to Act.
Ryzen AI laptops: tune memory, then go
On Ryzen AI systems you may need to adjust graphics memory before loading big contexts.
- Set AMD Variable Graphics Memory (VGM) to the matrix value
- On some PRO machines, set Dedicated Graphics Memory in BIOS
- Restart so settings stick
- Then follow the LM Studio and Cline steps
Radeon card owners can mostly skip memory tweaks, but Ryzen AI laptops may require adjusting VGM. AMD says right-click desktop, open Adrenalin > Performance > Tuning, and match the value in the support matrix. PRO devices may need a BIOS tweak instead. After that, the standard LM Studio server settings, context length, and Flash Attention apply.
Model picks and context settings
AMD name-checks two coding models and stresses context configuration.
- Named models: Qwen3-Coder 30B A3B, GLM 4.5 Air
- Set context length per the product matrix
- Enable Flash Attention for high-context loads
- Expect the “best” model to change as new releases land
The blog notes that high-context loads can fail without Flash Attention enabled in LM Studio’s advanced settings. It also cautions that the recommended model will change as smarter models reduce memory pressure. In other words, treat this as a living setup.
UAE notes: power, thermals and download sanity
The guide is global, but a few practical points help here.
- Plug in during model downloads; some exceed tens of GB
- Thin-and-lights can throttle in hot rooms; raise the fan curve in Adrenalin
- Check local laptop availability if you’re shopping Ryzen AI this year
- Keep drivers fresh to avoid llama.cpp loading errors
Large models and long contexts stress both memory and cooling. If you’re on a slim Ryzen AI laptop, keep it on mains power and ventilated. For shoppers, our recent coverage of AMD-powered Copilot+ laptops like Acer’s Swift Air 16 gives a feel for regional timelines and specs, though AMD’s instructions here don’t depend on brand. See our look at the Swift Air 16 and broader laptop buying guides for context.
Internal reads: Acer Swift Air 16 with Ryzen AI 300, How to choose a laptop for photo editing.
(AMD’s llama.cpp driver requirement and the VGM step come straight from their post.)
Step-by-step: from zero to local coding assistant
Summary: AMD says this takes about 10 minutes, excluding downloads. Here’s the condensed list.
- Install AMD Software: Adrenalin 25.9.1+ or PRO 25.Q3+
- On Ryzen AI, set VGM or BIOS Dedicated Graphics Memory per matrix
- Install LM Studio, choose Community vendor, pick model and quantisation
- In LM Studio server, manually select parameters, set context length, enable Flash Attention
- Install Git for Windows and VS Code
- Install Cline for VS Code, select LM Studio as the provider
- In Cline settings, confirm model for Plan and Act, enable compact prompts if advised
- Switch VS Code default terminal to Git Bash
- Start with a scoped Plan, then flip to Act to execute
Those are AMD’s exact moving parts, including the specific driver builds and the Git Bash terminal switch that avoids shell quirks. The article even provides a sample “build me an n-body simulation website” prompt to show Cline creating files and iterating autonomously.
What is “vibe coding” in AMD’s post?
It’s AMD’s term for local AI pair coding where an on-device LLM plus tools like Cline plan tasks, create files, and iterate inside VS Code. Privacy and cost control are the main draws.
Do I need a Radeon GPU, or will a Ryzen AI laptop work?
Either works. Radeon and Radeon Pro cards run with updated Adrenalin drivers. Ryzen AI laptops can do it too, but may require adjusting AMD Variable Graphics Memory or BIOS Dedicated Graphics Memory before loading large contexts.
Which models does AMD call out?
Qwen3-Coder 30B A3B and GLM 4.5 Air are named as strong choices for autonomous coding and tool use at the time of publication.
Why is Flash Attention mentioned so much?
Because without it, high-context configurations in llama.cpp may fail to load. AMD says to enable it in LM Studio’s advanced server settings and to set context length based on the product matrix.
What drivers do I need on Windows?
Adrenalin 25.9.1+ for Radeon, or PRO Edition 25.Q3+ for commercial systems like HP ZBook Ultra G1a/Z2 Mini G1a. These enable the latest llama.cpp support and improve model loading reliability.
Source: AMD, “Getting Started: Vibe Coding Locally with AMD Ryzen AI and Radeon Graphics Cards,” published 30 September 2025. All setup details, model names, driver numbers, and steps are taken from that page.
Further reading on Tbreak:
- Acer Swift Air 16 brings Ryzen AI 300 to a sub-1 kg 16-inch
- Laptop buying factors for heavy AI/photo work
Now go make your computer do your homework for once.
