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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.

Qoder logo
Qoder
✓ verifiedFreemium

Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.

2.7M visits/mo32K saves
Builder.io logo
Builder.io
✓ verifiedFreemium

Visual development platform with AI design-to-code, a visual editor and headless CMS so teams and agents ship UI in real code.

806K visits/mo
Gumloop logo
Gumloop
✓ verifiedFreemium

No-code platform for building and running AI agents that automate work across data, sales and support tasks.

701K visits/mo
Dumpling AI logo
Dumpling AI
✓ verifiedFreemium

Unified API that gives AI agents web scraping, search, document extraction, and social/enrichment data through one billed endpoint.

28K visits/mo
Pricing

No public pricing

Free trial available

Free: $0 per user/mo (60 agent credits)
Pro: $24/user/mo (500 credits)
Team: $40/user/mo
Pro: $37/month (20k+ credits/month, unlimited seats)
Starter: $40/mo (billed annually, 1.2M credits/yr)
Pro: $124/mo (4.2M credits/yr)
Business: $249/mo (9.6M credits/yr)
Core features
  • 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
  • AI design-to-code (Figma to code)
  • Visual editor tied to your components
  • Headless/visual CMS
  • AI agents (Builder-Agent) that open PRs
  • Integrations: GitHub, GitLab, Bitbucket, Figma, VS Code
  • Roles, reviews and collaboration
  • Visual canvas to orchestrate multi-agent workflows
  • Prebuilt specialized agents (data, support, CRM, sales)
  • Access to many AI models with no vendor lock-in
  • Slack, Teams and email agent interaction
  • Recurring/scheduled tasks and triggers
  • Enterprise security: RBAC, VPC, audit logs, spend controls
  • Unified API for search, scrape, and extraction
  • Smart routing across multiple data providers
  • Document and PDF structured extraction
  • Social and media data (YouTube, TikTok, LinkedIn, reviews)
  • People and company enrichment
  • MCP and CLI surfaces for AI tools
Use cases
  • Autonomous feature development in large codebases
  • Terminal-based AI pair programming
  • Cross-department task automation for legal, finance, HR
  • Onboarding developers to unfamiliar codebases
  • Convert designs to production code
  • Let non-developers edit pages visually
  • Manage content with a headless CMS
  • Collaborate across design, PM and engineering
  • Automate data analysis and reporting
  • Triage support tickets and spot patterns
  • Keep a CRM updated and research prospects
  • Deploy AI agents across a team's tools
  • Feeding AI agents reliable external web data
  • Replacing several scraping and search subscriptions
  • Extracting structured data from PDFs and documents
  • Enriching leads with company and email data
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