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Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
Marketplace and no-code builder for AI mini-apps and chatbots, with one-place access to many models and embeds.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Full-stack observability platform with an AI SRE agent that detects, debugs, and auto-fixes issues across infra, apps, and users.
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No public pricing
No public pricing
No public pricing
- ✦Git repository hosting
- ✦Bitbucket Pipelines CI/CD
- ✦Pull requests and code review
- ✦Native Jira integration
- ✦Branch permissions and access controls
- ✦IP allowlisting and security features
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- ✦Access to many AI models in one place
- ✦Create no-code AI mini-apps and chatbots
- ✦Community app/game marketplace
- ✦Embed apps on websites
- ✦Image, audio and video generation apps
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Infrastructure and application performance monitoring
- ✦Log monitoring with AI insights
- ✦Real user monitoring
- ✦OpsAI SRE agent for detection and auto-fix
- ✦Synthetic and browser testing
- ✦LLM observability
- →Source code management
- →CI/CD automation
- →Team code review
- →DevOps for Jira-based teams
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps
- →Building custom AI chatbots
- →Discovering community AI apps
- →Embedding AI apps on a site
- →Generating images, music and text
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Monitor full-stack app and infra health
- →Debug incidents faster with AI
- →Correlate frontend and backend issues
- →Observe Kubernetes and cloud environments