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CodeFast logo
CodeFast
✓ verifiedPaid

Beginner-friendly online course teaching entrepreneurs to build and launch a real SaaS in about 14 days using web basics and AI.

53K visits/mo
60K visits/mo
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
457K visits/mo
Pricing

No public pricing

No public pricing

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

Free trial available

No public pricing

Core features
  • ~12 hours of structured video lessons
  • Web fundamentals (HTML, CSS, JavaScript)
  • Build a real SaaS with Next.js, React, Tailwind, MongoDB
  • Authentication (magic link, Google OAuth)
  • Stripe and LemonSqueezy subscriptions
  • Deployment, domains, DNS and hosting
  • AI-assisted coding and design, Git/GitHub
  • Immersive simulations
  • AI-powered practice sessions
  • Personalized coaching
  • Data-driven insights
  • Skills gap analysis
  • 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)
  • Orchestration
  • SDK
  • Prompting
  • Evaluations
  • Retrieval
  • Deployment
  • Observability
  • Visual Workflow Builder
  • LLM Playground
Use cases
  • Learn to code as a founder
  • Build and launch a first SaaS
  • Ship an MVP quickly
  • Add payments and auth to an app
  • Improving customer service skills through simulated interactions
  • Developing leadership competencies with practice-based scenarios
  • Enhancing sales performance through realistic sales simulations
  • Training healthcare professionals in patient communication and care
  • Preparing educators for classroom management and student engagement
  • Automating PR code review
  • Raising test coverage
  • Incident investigation and remediation
  • Large-scale migrations and onboarding
  • Building agentic AI workflows
  • Generating a LinkedIn post from a URL
  • Testing prompt designs and model configurations
  • Evaluating AI system quality
  • Deploying AI updates
  • Monitoring AI decisions
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