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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.

devActivity logo
devActivity
✓ verifiedFreemium

GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.

52K visits/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
21K visits/mo
Devin AI by Cognition logo
Devin AI by Cognition
✓ verifiedPaid

Autonomous AI software engineer by Cognition that plans and completes full coding tasks from a natural-language brief.

Tabnine AI logo
Tabnine AI
✓ verifiedPaid

Enterprise-focused AI coding assistant offering code completion, in-IDE chat and agentic workflows with strict code privacy controls.

Pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month

No public pricing

AI Coding Platform: $39 per user per month (annual subscription)
Core features
  • 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
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Autonomous end-to-end task execution
  • Planning and multi-step reasoning
  • Code writing, running and debugging
  • Integrated shell, editor and browser
  • Application building and deployment
  • AI code completion for single and multi-line suggestions
  • In-IDE chat supporting the full software development lifecycle
  • Agentic workflows and a CLI for terminal-based AI coding
  • Enterprise Context Engine for org-specific codebase understanding
  • Zero code retention and no training on customer code
  • Flexible deployment: SaaS, VPC, on-prem or air-gapped
  • Governance controls, SSO, and centralized usage analytics
Use cases
  • Automating developer performance reviews
  • Spotting delivery bottlenecks
  • Generating retrospective insights
  • Motivating teams via gamification
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Automating software engineering tasks
  • Building apps from a brief
  • Debugging and fixing code
  • Assisting development teams
  • Enterprise engineering teams needing private, compliant AI coding tools
  • Developers wanting AI chat and completions inside their existing IDE
  • Organizations with legacy or mixed tech stacks requiring context-aware suggestions
  • Security-sensitive teams requiring air-gapped AI deployment
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