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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.

Augment Code logo
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
HumanLayer logo
HumanLayer
✓ verifiedFreemium

AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.

197K visits/mo
Codeamigo logo
Codeamigo
✓ verifiedFree

AI-assisted coding-tutorial tool for learning to code; now unmaintained as its creator moved to another project.

481 visits/mo
16x Prompt logo
16x Prompt
✓ verifiedFreemium

Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.

21K visits/mo
Pricing
Business: $100/mo flat (up to 50 seats, $100 usage included)

Free trial available

No public pricing

No public pricing

No public pricing

Free: $0 (10 prompts/day)
Individual lifetime license: $48
Team lifetime license: $68
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)
  • AI coding IDE with agent orchestration
  • Run and manage multiple agent sessions
  • Task, artifact and collaboration tools
  • Bring-your-own AI subscription or API keys
  • Cloud-scale agent execution
  • Weekly newsletter with high-quality insights
  • Deep dives into ML topics
  • Tools used by Machine Learning engineers
  • ML System design course (coming soon)
  • YouTube channel (coming soon)
  • Archive of past articles
  • AI-powered coding tutorials
  • Interactive, developer-style lessons
  • Guided learning with modern tools
  • Demo project walkthrough
  • Waitlist sign-up (courses coming soon)
  • Source-code context and prompt management
  • Custom and formatting instructions
  • BYOK API integrations (OpenAI, Claude, Gemini, etc.)
  • Token-limit tracking
  • Code-edit feature with visual diffs and backups
  • Local, offline prompt generation
Use cases
  • Automating PR code review
  • Raising test coverage
  • Incident investigation and remediation
  • Large-scale migrations and onboarding
  • Shipping code faster with AI agents
  • Coordinating agent work across a team
  • Managing tasks and artifacts in one place
  • Running many parallel agent sessions
  • Upskilling as a Machine Learning engineer
  • Learning about ML systems at scale
  • Staying updated on the latest ML tools and techniques
  • Understanding ML system design principles
  • Learning to code with an AI assistant
  • Following interactive coding tutorials
  • Practicing with guided project examples
  • Building context-rich prompts for AI coding
  • Comparing model outputs on the same task
  • Reusing saved prompts across tech stacks
  • Keeping code private during prompt creation
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