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Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.
Free official toolkit that wires Claude Code, Cursor and similar AI coding tools into Shopify's docs, schemas and CLI for app building.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
Free trial available
No public pricing
No public pricing
No public pricing
Free trial available
- ✦One-line API calls to run community and proprietary AI models
- ✦Support for image, video, speech, and LLM generation models
- ✦Fine-tuning and custom model deployment via Cog
- ✦Per-second usage billing on shared or dedicated hardware
- ✦Automatic scaling for high-traffic private models
- ✦Thousands of community-published models with production APIs
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦One-command plugin install for Claude Code, Codex, Cursor, VS Code and more
- ✦Bundled Shopify documentation and GraphQL API schemas for agents
- ✦Built-in code validation against Shopify's implementation rules
- ✦Store execute capability so an agent can act on a real Shopify store via CLI
- ✦Optional granular install of individual agent skills
- ✦Local Dev MCP server option requiring no authentication
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦AI-summarized commit and PR reports
- ✦Daily and weekly scheduled digests
- ✦Slack and email delivery
- ✦One-click OAuth or webhook setup
- ✦GitHub, GitLab and Bitbucket support
- ✦Templates for standups and reports
- →Developers embedding image/video/speech generation into an app via API
- →Teams deploying and scaling their own fine-tuned models
- →Builders comparing outputs from multiple AI models in one playground
- →Companies avoiding GPU infrastructure management for ML inference
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Scaffolding and building Shopify apps with an AI coding assistant
- →Validating app code against Shopify's platform rules before shipping
- →Letting an agent manage a Shopify store through natural-language CLI commands
- →Connecting Shopify's developer docs directly into an editor's AI chat
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
