vx-usagev1.0.10

When a new developer joins a team, they can run vx node --version and vx just build without pre-installing tools. vx automatically installs the correct versions, removing setup friction and reducing onboarding time by hours.

An AI agent with vx skills can manage Git workflows and run tests using vx git and vx cargo. This ensures the agent uses the correct tool versions and reduces token usage via structured outputs and selective filtering.

A developer debugging a failed CI pipeline uses vx gh run view with --json --jq to fetch only job names and conclusions, then pipes logs through vx rg to extract errors. This approach cuts token consumption from 226k to under 500 tokens.

A team using both macOS and Linux can share a vx.toml configuration that auto-installs Node.js 18, Python 3.12, and Go 1.22 for each platform. Developers just run vx node app.js and vx uv pip install -r requirements.txt.

A polyglot project requiring Node.js for frontend, Python for backend, and Rust for core logic can be managed with a single vx.toml. Running vx npm install, vx uv sync, and vx cargo build automatically installs each toolchain.

vx is open source with optional enterprise support contracts. Companies pay for dedicated assistance, custom provider.star files, and SLAs, while individuals use vx for free.

A hosted service where teams define vx.toml policies, manage provider versions, and audit tool usage. Integrates with GitHub and CI systems. Pricing based on team size.

vx's token-efficient output compression (--compact) and structured JSON filters are offered as a premium add-on for AI agents. Basic tool execution remains free, but advanced token savings require a license.