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One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI SQL query optimization tool for developers to detect performance bottlenecks and get explainable tuning recommendations.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Free trial available
No public pricing
No public pricing
Free trial available
No public pricing
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- ✦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
- ✦Zero-configuration SQL optimization across multiple database engines
- ✦AI-powered query rewriting engine
- ✦Bottleneck detection with smart index recommendations
- ✦Dual-pane SQL diff viewer for before/after comparison
- ✦AI query plan explainer with step-by-step reasoning
- ✦MyBatis XML auto-rewrite support
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Backend developers speeding up slow production queries
- →Teams reducing manual SQL tuning workload
- →Engineers wanting explainable reasoning behind optimization suggestions
- →Companies standardizing query performance across MySQL/PostgreSQL systems
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects