TLDR
Solana Swap's latest codebase updates focus on AI-powered trade optimization and DEX infrastructure, though available data appears dated (last confirmed release November 2024).
- AI model integration – Implemented Gemma LLM for trade splitting/slippage reduction
- DEX completion – Launched aggregation swap with multi-DEX liquidity (90%+ coverage)
- Bridge support – Added Wormhole cross-chain interoperability
Deep Dive
1. AI-Powered Allocation Engine
The team forked Google's TensorRT-LLM framework (TensorRT-LLM) to build SOS_LLM – an AI model trained on historical swap data to:
- Split large orders across DEXs
- Predict optimal routing to minimize slippage
- Adjust strategies in real-time via reinforcement learning
Initial benchmarks claim 60% price improvement over rivals, though real-world efficacy remains unverified. This aligns with their November 2024 roadmap milestone for AI model deployment.
2. DEX Infrastructure Upgrades
The SOS_DEX repository shows:
- Multi-DEX aggregation – Supports Jupiter, Raydium, Orca
- Order types – Added limit orders & dollar-cost averaging
- Wormhole integration – Enables ETH<>SOL asset transfers
The frontend (JavaScript) prioritizes trader UX with slippage controls and MEV protection toggles. However, code commits lack timestamps, making recency assessment impossible with provided data.
Conclusion
While Solana Swap's AI-driven DEX represents an ambitious technical leap, the absence of verifiable code activity since November 2024 raises questions about current development momentum. How might the project's reliance on forked AI frameworks (TensorRT-LLM, Gemma) impact its ability to maintain competitive edge as newer models emerge?