Master blockchain development through hands-on lessons across four specialized learning tracks
Understand Rivellum's core design: encrypted batch ingress, lane-parallel execution, Aurora BFT consensus, post-quantum cryptography, and the RIVL token model.
Install the Rivellum toolchain, start a local devnet, and send your first RIVL transfer.
Learn the account model, post-quantum keys, intent anatomy, and how encrypted envelopes flow through batch submission.
Learn the Mist domain-specific language, compile and deploy Mist contracts, then call and test them on devnet.
Understand the event architecture, query historical events via RPC, and subscribe to real-time event streams via WebSocket.
Build with native NFTs and collections, use ZK privacy (Shield/Unshield), and integrate on-chain governance and the cross-chain bridge.
Master Mist's 8 types, indentation-sensitive syntax, statements, control flow, intrinsics, and contract structure.
Learn the 7 value operations (Hold, Pay, Release, Refund, Split, Mint, Burn), the Universal Value Layer, settlement, and practical patterns.
Understand PVI graph structure, nodes, edges, conditions, commitments, determinism, and VIR SSA form.
Master the mistc CLI, compilation pipeline, Host ABI syscalls, 42 Casual Prefabs, contract lifecycle, and debugging workflows.
Install the Rivellum node binary, explore the full TOML configuration, and tune network and consensus settings.
Initialize and launch multi-committee testnets, manage the cluster lifecycle, and run faucet and exporter services.
Expose Prometheus metrics, build Grafana dashboards, and troubleshoot common node issues.
Harden a node for mainnet, implement backup and snapshot strategies, and plan disaster recovery and upgrades.
Understand Proof-of-Useful-Work: how it replaces wasteful mining, the claim-based proving pipeline, and mining economics.
Install and configure the prover daemon, connect to the network, select tiers and backends, and set up monitoring.
Understand epoch-based reward distribution, optimize hardware and configuration for throughput, and plan multi-prover fleet strategies.