Deploy to 50+ Platforms From a Single Codebase
The Problem You Know
You built a web app. Now you need iOS and Android. That's three codebases, three deployment pipelines, three times the debugging when something breaks in production.
Or you're tired of context-switching between your architect's design docs, your own code, test frameworks, and deployment configs. Information gets lost. Decisions get re-made.
What We Built
Single persistent AI agent that holds your entire project context across all phases: architecture → development → testing → debugging → deployment. No context resets between steps. The AI that designed your schema is the same AI writing your code and validating your tests against actual requirements.
Pre-warmed container pool with 50+ tech stacks ready to run in 0.2 seconds instead of 8-30s of boot time.
One deploy command that handles web bundling, iOS/Android signing, backend containerization, and store submission. No manual platform-specific pipeline configurations.
How It Actually Works
fleeks agent "build marketplace with user auth and payments"
The AI:
- Designs your database schema
- Generates React + Express + React Native code
- Writes tests that actually validate against your design
- Checks for OWASP vulnerabilities
- Creates your deployment configs for web, iOS, Android
- Breaks it into tasks
fleeks deploy --targets vercel,app-store,google-play
Your code is on all three platforms, signed, with store metadata, ready for review.
Why This Matters
For solo developers:
Web + mobile + backend simultaneously. Deploy to 50+ targets. No hiring.
For teams:
Developer A implements auth. Developer B starts payments. The AI already knows your auth API, database schema, naming conventions. No "wait, what endpoint did we use?" moments. Integration bugs drop dramatically.
For enterprises:
50+ deployment targets, shared context across teams, SOC2/GDPR/HIPAA compliance built in.
The Technical Reality
- 50+ platforms supported: Vercel, AWS Lambda, App Store, Google Play, Polygon, Solana, etc.
- 7 AI modes: Architect, Developer, Tester, Reviewer, Debugger, Planner, Supervisor (all one agent, shared context)
- Multi-cloud: AWS, GCP, Azure (99.9% SLA)
- Your code is yours: Git-integrated, export anytime, not locked in
- Works with existing repos: Point it at GitHub/GitLab, it reads your patterns
Supported Tech
Web: React, Vue, Angular, Next.js, Svelte
Mobile: React Native, Flutter, Swift, Kotlin
Backend: FastAPI, Express, Spring Boot, Django, Go, Rust
Blockchain: Solidity, near, Cosmos
CLI, Desktop, IoT: Yes
Plus 40+ more stacks.
vs Competitors
| Aspect | Fleeks | Cursor | Replit | Bolt.new |
|---|---|---|---|---|
| Container startup | 0.2s (pre-warmed) | N/A (local) | 8-30s (on-demand) | <5s (web-optimized) |
| AI architecture | Single agent, 7 modes, persistent context | Multi-model, per-file context | Basic chat + code | GPT-4 chat, instant deploy |
| Deployment targets | 50+ with integrated pipelines | Manual setup required | Limited hosting options | Web hosting only |
| Multi-platform from one codebase | Yes (one repo, 50+ targets) | No (local dev only) | Limited (web focus) | Web only |
| Team context sharing | Yes (workspace-level AI) | No (per-user) | Limited | No |
| CLI/SDK/programmatic access | Yes (CLI, Python SDK, MCP) | No (UI only) | Limited | No |
What We're Not
- We won't replace your IDE (integrate with it instead)
- We won't lock your code in (Git integration, export anytime)
- We won't work if you need absolute on-premise (cloud-only for now, private cloud on request)
- We won't eliminate code review (AI flags for manual approval before merge)
The Actual Difference
Most dev tools pick: simplicity OR power.
We picked consistency. Same AI, same context, same codebase across all platforms. Fewer bugs, faster shipping, less re-learning.
Fleeks. Unified development infrastructure. Platform-agnostic AI agent. Multi-platform deployment from single codebase.
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site is fleeks.ai/