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Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Widely used no-code automation platform connecting thousands of apps, now extended with AI agents, chatbots, and an MCP server.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
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- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦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
- ✦Zap workflows linking triggers and actions across 9,000+ apps
- ✦No-code AI agent builder for task-specific assistants
- ✦Chatbots for answering customer questions with AI
- ✦Canvas for visually planning and mapping workflows
- ✦Tables for storing data that workflows can read and update
- ✦Forms for capturing inputs that trigger automations
- ✦Zapier MCP server to connect AI chat tools to app integrations
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- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →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
- →Teams automating cross-app workflows without engineering resources
- →RevOps/Sales teams routing leads and updating CRMs automatically
- →Support teams deploying AI chatbots for common questions
- →Developers connecting AI coding agents to thousands of apps via MCP