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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
PromptLayer logo
PromptLayer
✓ verifiedFree

Prompt engineering, management, and LLM observability platform.

212K 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
20Paths logo
20Paths
✓ verifiedFreemium

Create interactive, AI-annotated product demos and how-to guides to convert leads and onboard customers.

351 saves
Pricing
Business: $100/mo flat (up to 50 seats, $100 usage included)

Free trial available

No public pricing

No public pricing

No public pricing

Solo: $0 (2 demos, 2 guides)
Pro: $35/mo (unlimited demos)
Team: $15/mo per user (min 10 users)
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)
  • Prompt management
  • Prompt evaluations
  • LLM observability
  • Team collaboration
  • Version control for prompts
  • A/B testing of prompts
  • Prompt Registry
  • Historical backtests
  • Regression tests
  • Usage monitoring
  • 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)
  • Click-to-capture demo creation
  • AI annotations and 12+ language translation
  • Branching, CTAs and personalization
  • Custom branding and blur/zoom
  • Embed and share anywhere
  • Engagement analytics
Use cases
  • Automating PR code review
  • Raising test coverage
  • Incident investigation and remediation
  • Large-scale migrations and onboarding
  • Scaling customer support automation with LLMs
  • Empowering non-technical teams with prompt engineering
  • Building personalized AI interactions
  • Debugging LLM agents
  • Improving content creation processes
  • Managing and monitoring prompts with a team
  • 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
  • Product-led growth demos
  • Customer onboarding guides
  • Sales demo leave-behinds
  • Self-service help documentation
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