SolanaForge is a browser-based AI-powered IDE for building, testing, deploying, and managing full-stack Solana applications. The platform uses LLMs like OpenAI, Claude, Gemini, and Grok to generate, maintain, and deploy smart contracts, backends, and frontends — tightly integrated into a seamless Web3 developer experience.
- Enable AI-driven generation of smart contracts, frontend, and backend.
- Seamless deployment to Solana (smart contracts), Vercel (frontend), and DigitalOcean (backend).
- Allow third-party integrations (GitHub, Vercel, DigitalOcean, etc).
- Maintain live syncing between stack components (e.g., frontend knows contract address).
- Provide AI-powered debugging, auditing, and migration tooling.
- Ada – Intermediate dev new to Solana.
- Leo – Experienced Web3 dev deploying advanced dApps.
- Tina – Non-coder startup founder wanting to prototype with AI.
As a user, I want the AI to generate my smart contract, backend, and frontend based on a plain-language prompt.
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Prompt → Full working project scaffold
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AI asks follow-up questions
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Outputs:
- Solana smart contract (Anchor-based)
- Express/Node backend API
- React/Vue frontend with wallet integration
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Connects to live devnet deployment
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Explains the code inline
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Option to redeploy with edits or iterate on top
As a user, I want the AI to debug my broken smart contract or backend so I don’t waste hours hunting errors.
- Detects syntax, logic, and Solana-specific bugs
- Shows highlighted error lines with explanations
- Suggests inline fix or auto-fix
- Can roll back to working commit if requested
- Integrates with CI to auto-detect future breakages
As a user, I want the AI to audit my contract for security issues and gas inefficiencies before deployment.
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Audits Anchor/Rust contracts for:
- Reentrancy
- Missing checks
- Unbounded loops
- Overflow issues
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Suggests fixes with reasoning
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Provides confidence score for each function
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Option to generate PDF audit report for DAO/legal usage
As a user, I want to migrate my smart contract state or backend DB without downtime or data loss.
- AI detects source/destination schemas
- Suggests transformation if necessary (e.g., type change)
- Executes migration scripts
- Verifies migrated data correctness
- Can rollback if needed
As a user, I want to connect my GitHub, Vercel, and DO accounts for seamless code sync and deployment.
- GitHub: Push AI-generated project directly, CI/CD support
- Vercel: Auto-deploy frontend
- DigitalOcean: Auto-deploy backend (Docker/Droplet options)
- Option to auto-commit changes from AI fixes
- Live logs and status from deployments
As a user, I want to ask the AI anything in the IDE while coding.
- Answers questions about Solana
- Links directly to updated docs (via embeddings/web search)
- Generates code snippets on demand
- Can explain any code block by selection
| Feature | Test Scenario | Expected Result |
|---|---|---|
| AI code generation | Generate NFT minting dApp | Project scaffold with correct Solana config |
| Contract deployment | Deploy to Devnet/Mainnet | Returns program ID and explorer URL |
| Stack integration | Frontend talks to backend + smart contract | Successful full-stack test without manual edits |
| GitHub integration | Connect and push project | Project appears in selected repo |
| Vercel deployment | Deploy frontend | Live link provided |
| Bug fix | Inject error into contract and ask AI to fix | AI returns corrected contract code |
| Audit | Run audit on full contract | Receives security report |
| Data migration | Migrate schema V1 to V2 | Data copied and verified |
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Frontend → React/Vite → Vercel
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Backend → Node.js (Express/Fastify) → Docker container → DigitalOcean
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Smart Contracts → Rust (Anchor) → Solana Devnet/Mainnet
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AI Layer:
- Model selector (Claude, GPT-4, Gemini, Grok)
- Model parameters (temperature, context window)
- Uses embedding + retrieval for latest docs
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CI/CD via GitHub Actions (optional)
| Platform | Purpose |
|---|---|
| GitHub | Sync code, push commits, view diffs |
| Vercel | Frontend hosting |
| DigitalOcean | Backend hosting (via droplet or container) |
| Supabase/Neon | PostgreSQL database for app |
| IPFS/Arweave | Optional off-chain storage for metadata |
| Solana RPC | On-chain interaction |
- Live collaboration (like Google Docs for code)
- Real-time blockchain simulation
- DAO integration + multisig deployment flows
- Plugin system (add new toolchains)
- AI-powered Git history summary / changelog
The project will follow an agile development methodology, broken into phases and milestones, with regular sprints and demos.
Goals:
- Set up the core infrastructure and baseline tooling
- Establish modular frontend/backend stack
- Choose LLM model routing system
Tasks:
- ✅ Initialize monorepo (e.g., TurboRepo, Nx)
- ✅ Set up frontend (React + Tailwind or similar)
- ✅ Set up backend API (Node.js + Express or Fastify)
- ✅ Connect GitHub OAuth for integration
- ✅ Configure deployment pipelines (Vercel + DigitalOcean)
- ✅ Integrate basic Solana toolchain (Anchor CLI, solana-cli)
- ✅ Design basic UI/UX wireframes
- ✅ Select and connect first LLM (OpenAI or Claude)
Goals:
- Build AI assistant and code generation flow
- Enable smart contract generation and deployment
Tasks:
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🔲 AI code generation pipeline for:
- Smart contract (Anchor)
- Backend (Node/Express)
- Frontend (React)
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🔲 Add inline AI explanations and editing
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🔲 Connect AI to Solana docs via embedding/RAG
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🔲 Deploy and test smart contract to devnet
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🔲 Live contract ID passed to backend/frontend
Milestone: MVP can generate and deploy a full stack Solana app with working endpoints.
Goals:
- Ensure deployed components are interconnected and live
- Add GitHub, Vercel, DO integrations
Tasks:
- 🔲 Implement GitHub push/pull
- 🔲 Vercel deploy frontend + auto update URLs in backend
- 🔲 DigitalOcean deploy backend + serve live API
- 🔲 Database setup (PostgreSQL – Supabase/Neon)
- 🔲 Auto-configure CORS and secure tokens
- 🔲 Update AI to reference live URLs and contracts in code
Milestone: One-click deploy with full app live on URLs and ready to test on-chain.
Goals:
- Implement AI for debugging, auditing, and migration
Tasks:
- 🔲 AI bug diagnosis & inline fixes
- 🔲 Contract auditing assistant (security + gas)
- 🔲 Migration assistant for contract versioning
- 🔲 Real-time log viewer
- 🔲 Model routing: allow user to choose Claude / GPT / Gemini / Grok
Goals:
- Finalize UI/UX
- Add tutorials, onboarding, testing
Tasks:
- 🔲 User onboarding flow
- 🔲 Tutorial projects (e.g., NFT minter, DAO, Token)
- 🔲 Add version control features
- 🔲 Cross-platform testing
- 🔲 Full end-to-end testing scripts
- 🔲 Launch landing page
- 🔲 Prepare for public beta
| Phase | Deliverables |
|---|---|
| 1 | Working scaffold + deployment + Solana toolchain |
| 2 | End-to-end project generation via AI |
| 3 | Deployable, live-connected frontend/backend/contract |
| 4 | Full AI-powered dev tooling: audit, debug, migrate |
| 5 | Polished UI, onboarding, ready for launch |
| Role | Responsibility |
|---|---|
| Frontend Dev | React/Vite/Design system + integration with backend |
| Backend Dev | Node.js API, deployment pipelines |
| Blockchain Dev | Solana (Rust + Anchor), RPC testing |
| ML Engineer | LLM integration, embeddings, AI flow |
| DevOps Engineer | Deployment, DNS, Vercel/DO setup, container orchestration |
| UX Designer | User flows, layout, component UX |
| PM / Architect | Project roadmap, sprint management, architecture |
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GitHub Actions for testing and deployment
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Testing:
- Unit tests (Jest)
- Integration tests (Playwright)
- Contract tests (Anchor’s built-in testing + Mocha)
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Preview deploys on every PR
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Audit workflows before pushing to production