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Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
CI reliability platform that auto-quarantines flaky tests and runs an intelligent GitHub merge queue for engineering teams.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Free trial available
No public pricing
No public pricing
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦Codebase-aware developer chat
- ✦AI code completions and inline edits
- ✦Customizable and shareable prompts
- ✦Automatic bug identification and debugging help
- ✦Context filters to exclude sensitive repos
- ✦Integrates with major code hosts and IDEs
- ✦Automatic flaky test detection and quarantining
- ✦AI-powered failure analysis and duplicate detection
- ✦Anti-flake protection in the merge queue
- ✦Batching up to 100 PRs with auto-bisection on failure
- ✦Parallel merge queues for non-overlapping changes
- ✦Integrated ticketing with Linear/Jira and Slack alerts
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Engineers asking questions about an unfamiliar large codebase
- →Teams standardizing common coding tasks with shared prompts
- →Developers debugging errors faster with AI-assisted context
- →Enterprises running large-scale code migrations
- →Eliminating flaky test re-runs that slow down CI
- →Managing high-volume PR merges in a monorepo
- →Getting visibility into which tests impact the most pull requests
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts