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Jupyter-native AI agent that remembers a data project across sessions and reads chart/plot outputs, not just code.
Enterprise AI agent control plane that orchestrates coding agents across the SDLC on any model, deployable on-prem or air-gapped.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Vibe-coding builder creating full-stack apps by chatting with AI.
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
No public pricing
- ✦Cross-session project memory recalling prior decisions and state
- ✦Autonomous execution of long, multi-step notebook tasks
- ✦Reads cell outputs (plots, tables, metrics), not just code
- ✦In-notebook cell-level assistance and error fixing
- ✦Installs directly into existing JupyterLab via pip, no new editor
- ✦Concept explanations with runnable example cells
- ✦Orchestration of AI agents across the SDLC
- ✦Model-agnostic, bring-your-own-model support
- ✦On-prem, VPC, and air-gapped deployment
- ✦Hybrid Context Engine for codebase-scoped answers
- ✦Spec, Agent, and Chat modes
- ✦Reusable skills, tool permissions, and coding-standard rules
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦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
- →Data scientists running multi-week model iteration projects
- →Domain experts (e.g. risk/fintech) who know the problem but not deep Python
- →Researchers wanting an agent that remembers project context across days
- →Analysts needing help understanding unfamiliar algorithms or libraries
- →Migrating and modernizing legacy .NET code
- →Running autonomous feature and refactor workflows
- →Enforcing company coding standards across teams
- →Answering questions and debugging across large codebases
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
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- →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