Three AI Tools Just Dropped: Agent Analytics, Security-First Solana, and Flight Maps in Claude
Hodoscope analyzes AI agent behavior, Safe Solana Builder generates hardened smart contracts, and FlightSeatMap brings interactive seat maps to AI conversations.
Three AI Tools Just Dropped: Agent Analytics, Security-First Solana, and Flight Maps in Claude
Three specialized tools launched this week that solve distinct infrastructure problems developers actually face.
Hodoscope provides the missing analytics layer for AI agent behavior. Using unsupervised learning, it visualizes agent trajectories and discovers unexpected patterns across thousands of actions. If you're building with agents and need to understand what they're actually doing at scale, this fills a crucial gap in the toolchain.
Safe Solana Builder is a Claude skill that generates production-grade, security-first Solana programs. Instead of generic smart contract code, it creates audit-ready programs with built-in vulnerability protection and complete project scaffolds. Essential for anyone building on Solana who wants to avoid the typical security pitfalls.
FlightSeatMap MCP Server brings interactive flight seat maps directly into AI conversations. Agents can now visualize seating layouts and find optimal seats based on preferences. A niche use case, but exactly the kind of specialized tool that makes AI assistants actually useful for real-world tasks.
Each tool tackles a specific problem that existing solutions either ignore or handle poorly — the mark of practical developer tools worth trying.
Check out Hodoscope → | Safe Solana Builder → | FlightSeatMap MCP →
Featured Tools
FlightSeatMap MCP Server
An MCP server that provides interactive flight seat maps directly within AI conversations. Look up any flight's seating layout, find the best seats ba
Safe Solana Builder
A Claude skill that writes production-grade, security-first Solana programs with built-in vulnerability protection. It generates complete project scaf
Hodoscope
An open-source tool for analyzing AI agent behavior through unsupervised learning. It summarizes, embeds, and visualizes agent trajectories to help re
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