VS Code AI launch focus • Local-first by design

Private AI coding help for developers who want control.

Eymia Local AI Workbench for VS Code connects to Ollama and compatible backends so you can understand your codebase, review patches, run tasks, and keep humans in control without surprise token bills.

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Brand role Private AI development workflow

Built for VS Code, Ollama, teams, and self-hosted setups

Pricing promise No surprise token bills from Eymia

Why Eymia

Local-first AI without losing developer control.

The launch focus is a VS Code assistant that stays practical, project-aware, and approval-based instead of acting like an unchecked autopilot.

Works with Ollama

Use local models first and choose compatible backends when needed.

Review every patch

Inspect diffs, approve changes, and keep risky actions behind clear gates.

Grow into team deployment

Start local, then move into team policies, MCP tools, and private deployment paths.

Why Local-First

Built for developers who want privacy, predictable cost, and safer change review.

The product direction is clear: practical AI coding help for solo developers, students, small teams, and businesses that do not want cloud-first tooling to be their only option.

Private by design

Keep code closer to your environment and use local models without forcing every workflow through a cloud provider.

Project-aware assistance

Use workspace indexing, project context, and repository structure for more relevant coding help than isolated chat prompts.

Approval-first workflows

Preview patches, approve risky actions, and roll back changes when an edit is not the right fit.

How It Works

A straightforward flow for local AI coding inside VS Code.

The launch experience is designed to be simple: connect a backend, let Eymia understand the workspace, then review and approve changes with clear control points.

Connect VS Code to Ollama

Install the extension, choose a local or compatible model backend, and set up your preferred development workflow.

Let Eymia read project context

Index the workspace, search relevant files, and ask for code explanations, fixes, tests, or guided task execution.

Review patches before apply

Inspect diffs, approve actions, run tests with permission, and keep a rollback path when changes need to be reversed.

The current Eymia lineup, led by the VS Code AI workbench.

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Feature Focus

The first public story is a local-first AI coding assistant that feels safe to use.

Eymia Local AI Workbench is positioned around practical daily use: local model support, project-aware context, patch review, rollback history, MCP tools, and approval-based execution.

Strong parent-brand storytelling
Patch preview, approval gates, and rollback support
Flexible path from solo local use to team and on-prem deployment

Pricing Snapshot

Simple pricing built around predictable value, not token surprises.

Free CommunityTry local AI coding workflows with one workspace, local-only operation, and basic patch preview.
Indie ProUnlock commercial use, multiple workspaces, indexing, rollback history, MCP tools, and test integration.
Team and On-PremMove into shared rules, audit history, governance, and private deployment for sensitive codebases.

Need a private deployment path? Eymia plans team and on-prem options for businesses that want local control inside their own environment.