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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
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Tusk AI
✓ verifiedFreemium
AI test-generation layer for engineering teams using coding agents, producing unit/API tests based on real production traffic.
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Pricing
Portfolio Plan: SGD 9
Individual Plan: SGD 16
Growth Plan: SGD 31
Agency Plan: SGD 108
Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing
No public pricing
No public pricing
Free: $0/mo (individual developers)
Team: $50/mo per active developer
Free trial available
Core features
- ✦AI Website Builder
- ✦AI Sales Funnel Builder
- ✦Cloud Hosting
- ✦Code Export
- ✦AI Magic for Marketing Copy
- ✦Collect Form Data
- ✦Analytics & Backups
- ✦Responsive Design
- ✦WordPress Integration
- ✦Web scraping
- ✦Web crawling
- ✦Data extraction in Markdown, JSON, and screenshot formats
- ✦Dynamic content handling
- ✦Rotating proxies
- ✦Rate limits management
- ✦Open-source availability
- ✦Media Parsing
- ✦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
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- ✦Generates unit and API tests from real production traffic patterns
- ✦Self-healing test maintenance as code changes over time
- ✦Runs via a single CLI command locally or in CI
- ✦CoverBot to backfill test coverage on existing codebases
- ✦Automated code review comments posted directly on pull requests
- ✦Observability and monitoring for test and coverage trends
Use cases
- →Creating landing pages
- →Building business websites
- →Developing e-commerce stores
- →Designing portfolio websites
- →Generating sales funnels
- →Powering AI assistants with real-time web content
- →Enhancing sales data with web information
- →Adding scraping capabilities to code editors
- →Enabling customers to build AI apps with web data
- →Extracting comprehensive information for in-depth research
- →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
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- →Catching regressions in PRs generated by AI coding agents
- →Backfilling test coverage on a legacy codebase
- →Monitoring API contracts for breaking changes
- →Safely refactoring code with an automated regression safety net
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