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AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Desktop and VS Code AI coding assistant that generates and explains code from plain-language prompts, for developers and coding students.
Free trial available
No public pricing
No public pricing
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
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- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦AI code generation from natural-language prompts
- ✦AI code explanation for unfamiliar snippets
- ✦Snippet bookmarking for later reuse
- ✦VS Code extension integration
- ✦Support for major programming languages
- ✦Desktop apps for Windows and macOS
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD
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- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Speeding up debugging and syntax lookup for professional developers
- →Helping students understand coding concepts step by step
- →Generating boilerplate or algorithmic code snippets
- →Saving and organizing reusable code snippets across projects