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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
Pricing
No public pricing
No public pricing
Business: $100/mo flat (up to 50 seats, $100 usage included)
Free trial available
Pay-as-you-go: 42.8% platform fee for corporate, 33.3% for academic/non-profit (no monthly fee)
Participant payment: minimum $8.00/hr, recommended $12.00/hr
Core features
- ✦Universal Prompt creation and adaptation
- ✦Cross-model deployment
- ✦Built-in TestBed for performance gauging
- ✦Team collaboration and versioning
- ✦U-Block support for universal prompts
- ✦Midjourney AI artistic styles library
- ✦SREF codes library
- ✦Midjourney Guides
- ✦Midjourney Tools (Color Roulette, Style Benchmark)
- ✦Personal Libraries
- ✦Style Compilations
- ✦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)
- ✦Access to a verified and engaged participant pool
- ✦Self-serve platform for easy task setup and launch
- ✦Tools for AI training and evaluation
- ✦Fair compensation for participants
- ✦Audience checker
Use cases
- →Creating prompts that work consistently across different AI models without manual rewriting.
- →Building and deploying prompts for applications requiring integration with multiple LLMs.
- →Collaborating with team members on prompt engineering and management.
- →Testing and optimizing prompt performance across various models.
- →Exploring different artistic styles for Midjourney AI
- →Finding SREF codes for specific styles
- →Learning how to use Midjourney effectively
- →Creating consistent and visually appealing AI art
- →Generating unique and creative images with Midjourney
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Academic research
- →AI training and evaluation
- →Market research
- →User research & testing
- →Data annotation
- →Training & alignment
- →Evaluation & safety
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