Tabby

Tabby is useful when a team wants to run its coding assistant on infrastructure it controls. A local server supplies editor assistance and repository context. This is a deployment project, not just an account signup: the chosen models, hardware and indexing setup shape what developers can use.

A practical workflow

1. Read the deployment guide and choose a supported model and machine.
2. Start the Tabby server and connect a supported editor extension.
3. Configure repository context for a small non-sensitive project.
4. Try a completion and a code question, then inspect the generated change.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

Explain which function validates this request and suggest a minimal missing-field check using the repository's existing error format.

Result check: Verify the cited function exists, review the diff and run the request validation tests.

Access and alternatives

The Community edition is free within its current user allowance; paid Team and Enterprise options add capabilities. Self-hosting still requires compute, model setup and maintenance. A free software edition does not include free infrastructure.

Choose another workflow when its emphasis fits better: Tabnine for a managed coding assistant; Ollama for running local models without a complete coding workflow.