DIY Programmer

Private AI on your computer

Code with local AI and keep your project on your computer

Use a coding assistant without a cloud model, understand the few pieces involved and choose a model size that runs smoothly on your own machine.

Start with the practical steps Choose suitable hardware

In plain language

A useful local coding assistant is within reach

A local language model answers programming questions on your computer. An editor extension connects your files to the model and can suggest changes. This is attractive for personal work and confidential code. The experience mainly depends on model size, system memory, graphics memory and the speed you expect.

What you can build

When a local assistant makes sense

Local models have clear benefits, although they are not automatically best for every job.

Private projects

Source files, notes and questions do not need to be sent to a remote model provider.

Work without internet

The assistant remains available while travelling, in a workshop or on an isolated network.

Predictable usage

After buying the hardware, you can ask as many questions as you like without per-request charges.

How to start

Find a local setup that feels responsive

Start small. A quick model you enjoy using is more helpful than a huge model that keeps you waiting.

  1. Pick one small goal

    Choose a local runtime such as Ollama and check how much RAM or VRAM your computer has.

  2. Describe what you want

    Connect an editor assistant to the local address and turn off cloud providers you do not want to use.

  3. Build one useful feature

    Try explanations and small edits with a compact model trained for code.

  4. Try the result yourself

    Move to a larger model only when the better answer is worth the additional wait.

Before you share it

Make sure the complete setup is local

The model may run locally while an editor extension still uses online services.

  • The model address points to your computer or a machine on your home network.
  • Cloud fallback and telemetry match your preferences.
  • A trial still works after the internet connection is turned off.
  • You know where chat history and the project index are stored.

Choose suitable hardware

Computers for a local coding assistant

Small models run on many existing PCs. More shared memory or graphics memory helps with larger models, longer projects and faster answers.

GMKtec EVO-X2 128 GB RAM / 2 TB SSD

Approachable local coding setup

Ryzen AI Max+ 395 · Radeon 8060S · 128 GB unified memory · 2 TB SSD

GMKtec EVO-X2 128 GB RAM / 2 TB SSD

A practical fit for compact to medium coding models beside a complete development workspace.

Model memory
128 GB shared
Storage
2 TB and a second M.2 slot
Connectivity
2× USB4 and Wi-Fi 7

Watch for: Match the exact memory configuration to the model you plan to run.

View configuration*
HP Z2 Mini G1a 128 GB RAM / 1 TB SSD

More room for larger models

Ryzen AI Max+ PRO 395 · Radeon 8060S · 128 GB unified memory · 1 TB SSD

HP Z2 Mini G1a 128 GB RAM / 1 TB SSD

Useful when the model, editor, containers and database should remain responsive together.

Model memory
128 GB shared
Storage
1 TB and a second M.2 slot
Support
Three-year workstation warranty

Watch for: Additional memory and performance increase purchase price and power use.

View configuration*
Beelink GTR9 Pro 128 GB RAM / 2 TB SSD

Compact private AI workspace

Ryzen AI Max+ 395 · Radeon 8060S · 128 GB unified memory · 2 TB SSD

Beelink GTR9 Pro 128 GB RAM / 2 TB SSD

A space-saving choice for local assistants and everyday personal app projects.

Model memory
128 GB shared
Storage
2 TB and a second M.2 slot
Networking
2× 10GbE plus Wi-Fi 7

Watch for: Upgrade options may be more limited than on a full-size desktop.

View configuration*

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Compare all local-AI systems at AI Model PC →

Continue

Related practical guides

AI help while you code

Which AI coding assistant is right for you?

Compare code completion, editor chat and assistants that can edit several files based on your experience and the kind of project you want to build.

 Create an app with AI

Build an app with AI: from idea to first user

Shape a small useful application, create the first working version with an AI assistant and improve it with real feedback instead of guesses.

 Use Ollama in your editor

Set up Ollama as your local coding assistant

Install a local coding model, connect it to your editor and confirm the setup with one small programming task.
Official documentation and further reading

Technical references are linked to the original project or manufacturer documentation.