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Kiro AI
✓ verifiedFreemium
Kiro spec-driven AI IDE from prototype to production; notable AWS-backed dev product.
👁 3.8M/mo
Pricing
No public pricing
No public pricing
No public pricing
KIRO FREE: $0 /mo. per user
KIRO PRO: $19 /mo. per user
KIRO PRO+: $39 /mo. per user
Core features
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- ✦AI-powered enablement
- ✦Sales content management
- ✦Learning & coaching
- ✦Buyer engagement
- ✦Content automation
- ✦Enablement intelligence
- ✦Digital Sales Rooms
- ✦LiveDocs
- ✦LiveSocial
- ✦Seismic for Meetings
- ✦AI-powered sales workflows
- ✦Sales engagement
- ✦Deal management
- ✦Conversation intelligence
- ✦Rep coaching
- ✦Sales forecasting
- ✦AI IDE for prototype to production
- ✦Spec-driven development
- ✦Agent hooks for task automation (e.g., generating documentation, unit tests, code optimization)
- ✦Multimodal chat
- ✦Model Context Protocol (MCP) integration for connecting to docs, databases, APIs
- ✦Autopilot mode for autonomous execution of large tasks
- ✦Configurable agent interaction via steering files
- ✦Support for state-of-the-art AI models (Claude Sonnet 3.7, Sonnet 4)
- ✦VS Code compatibility (Open VSX plugins, themes, settings)
- ✦Image input for UI design or architecture guidance
Use cases
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- →Readying sales reps with training, coaching, and content to close deals.
- →Growing revenue and exceeding quota by automating tedious tasks.
- →Crafting more effective content with AI suggestions and analytics.
- →Building a team of confident customer service agents through smarter training and content delivery.
- →Prospect and manage accounts effectively
- →Manage and guide deals to closure
- →Retain and expand customer relationships
- →Coach and improve sales team performance
- →Forecast and plan revenue accurately
- →Building secure file sharing applications from scratch quickly.
- →Creating games without extensive manual coding.
- →Accelerating development from concept to working prototype in a short timeframe (e.g., a weekend).
- →Generating detailed user stories and capturing requirements like a product manager.
- →Automating routine development tasks such as documentation generation, unit testing, and code performance optimization.
- →Implementing complex features on larger codebases with fewer prompts and less repetition.
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