Opal
Google’s AI code generation system for enterprise developers building with Google Cloud and APIs.
At a Glance
Pricing
Get started with Opal at no cost with Free version available.
Engagement
Available On
About Opal
Opal is an enterprise-focused AI coding system developed by Google to assist developers building within the Google Cloud ecosystem.
It combines code understanding with real production context to generate secure, high-quality code. Opal powers:
- 🔍 Multi-line completions for internal APIs and libraries
- 🧱 Structured task generation and documentation-aware assistance
- 🔒 Safe-by-default generation aligned with enterprise standards
Opal was built for real-world engineering workflows, not just vibe coding experiments. It avoids hallucinations, respects internal tooling, and helps teams ship production code faster.
Currently used by Google’s own engineers, Opal is now available to select early access testers via opal.withgoogle.com.
Demo Video
Community Discussions
Let’s talk about Opal — Google’s new "vibe coding" tool
TL;DR: Opal lets you chain together generative AI steps visually to build interactive apps and media. Think: flowchart meets prompt chaining meets a no-code IDE. Opal is a fascinating case study in how Big Tech is trying to reimagine developer UX. But let’s break it down 👇 🧠 What is Opal? Opal is …
Pricing
Free Plan Available
Get started with Opal at no cost with Free version available.
- Free version available
Preview Access
Preview Access plan with Free access for trusted testers and Integration with internal tools and Google Cloud APIs.
- Free access for trusted testers
- Integration with internal tools and Google Cloud APIs
- Secure and enterprise-safe AI coding capabilities
Capabilities
Key Features
- Enterprise-grade AI code generation
- Multi-line completions for internal APIs and libraries
- Structured task generation
- Codebase-aware suggestions
- Integrated documentation lookup
- Safe-by-default design for production usage
- Supports Google Cloud tools and APIs
- Used internally by Google engineering teams