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AI coding assistant for editors and IDEs that explains, refactors, documents, and generates code across 56 languages.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
AI SQL analyst that learns your database to turn plain-English questions into queries, dashboards and reports for teams.
Free trial available
Free trial available
No public pricing
Free trial available
Free trial available
- ✦Bug detection and fix suggestions
- ✦Code and CSS framework conversion
- ✦Unit test and documentation generation
- ✦Regex, SQL query, and CI/CD pipeline generation
- ✦Code explanation and style checking
- ✦Editor extensions for VS Code, Sublime, JetBrains, Visual Studio
- ✦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
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
- ✦Auto-learns database schema without manual setup
- ✦Natural-language querying with accuracy scoring
- ✦Drag-and-drop personal dashboards
- ✦Automated PDF and interactive reports
- ✦Works inside ChatGPT, Claude, Slack and MS Teams
- ✦Desktop app keeps query results local
- →Generating unit tests for existing functions
- →Refactoring legacy code to modern practices
- →Producing inline documentation automatically
- →Learning new programming languages or concepts via AI explanations
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements
- →Let non-technical staff self-serve data insights
- →Speed up ad-hoc analysis for BI teams
- →Generate recurring reports automatically
- →Query across many SQL databases and warehouses