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Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.
One-time-purchase Next.js boilerplate with auth, payments, and email pre-wired so indie developers can launch a SaaS in days.
No public pricing
No public pricing
Free trial available
- ✦Codebase-aware developer chat
- ✦AI code completions and inline edits
- ✦Customizable and shareable prompts
- ✦Automatic bug identification and debugging help
- ✦Context filters to exclude sensitive repos
- ✦Integrates with major code hosts and IDEs
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦150+ recommendations across 50+ AWS services
- ✦Zombie and unused resource cleanup
- ✦Over-provisioned rightsizing
- ✦Idle-resource scheduler
- ✦SpotBot for ECS Fargate spot/on-demand switching
- ✦AWS console extension with Slack/Teams alerts
- ✦pre-configured Stripe/Lemon Squeezy payment integration
- ✦transactional email setup with DKIM/DMARC/SPF DNS records
- ✦Google OAuth and magic-link authentication
- ✦MongoDB or Supabase database integration
- ✦SEO and blog scaffolding out of the box
- ✦Discord community and public startup revenue leaderboard
- →Engineers asking questions about an unfamiliar large codebase
- →Teams standardizing common coding tasks with shared prompts
- →Developers debugging errors faster with AI-assisted context
- →Enterprises running large-scale code migrations
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Cutting AWS spend automatically
- →Rightsizing over-provisioned resources
- →Scheduling idle resources off-hours
- →Giving DevOps in-console cost recommendations
- →launching a SaaS or AI product without rebuilding common infrastructure
- →skipping repetitive auth, payment, and email setup work
- →building unlimited personal or client projects from one license
- →learning full-stack SaaS development via the bundled CodeFast course