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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Augment Code
✓ verifiedPaid
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
544K visits/mo
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Botsheets
✓ verifiedFree trial
No-code chatbots powered by Google Sheets that read, answer from, and write data back to your spreadsheets.
2.0K visits/mo6.4K saves
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Interview Coder
✓ verifiedFreemium
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
167K visits/mo
Pricing
Business: $100/mo flat (up to 50 seats, $100 usage included)
Free trial available
Lite: $19/mo (10,000 requests)
Pro: $49/mo (100,000 requests)
Platinum: $149/mo (unlimited requests)
Free trial available
No public pricing
Core features
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦Chatbots that read and write Google Sheets
- ✦Extracts conversation data into spreadsheets
- ✦Manychat plugin and website widgets
- ✦Generate charts and tables from data via chat
- ✦Google Slides generation from sheet data
- ✦Template library, unlimited chatbots
- ✦Real-time AI answers during technical interviews
- ✦Invisible to screen sharing and recording
- ✦Hidden from dock, tray and activity monitor
- ✦Click-through overlay
- ✦Live audio capture and transcription
- ✦Lifetime unlimited access license
Use cases
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Replacing web forms with data-collecting chatbots
- →Answering customer questions from spreadsheet data
- →Automating Manychat flows with live data
- →Turning sheet data into presentations
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
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