On-the-fly coding involves writing or modifying computer program code during runtime or in immediate response to changing conditions. This approach is often employed in dynamic environments where rapid adjustments are necessary, such as live system maintenance, interactive data analysis, or adaptive software development. It requires proficient understanding of system architecture and programming languages to implement changes without disrupting ongoing operations. The technique emphasizes responsiveness and direct interaction with a live system.
Context
While less common in production blockchain systems due to the need for immutable and auditable code, on-the-fly coding principles can be observed in smart contract development during testing or rapid prototyping phases. The security implications of dynamic code changes are substantial, making rigorous auditing and formal verification paramount for production deployments. Discussions in the crypto space typically focus on the balance between flexibility and the absolute integrity required for decentralized ledgers.
The RLNC-DAS paradigm commits to uncoded data, enabling on-demand, highly efficient sample generation that drastically improves data availability certainty.
A new Data Availability Sampling paradigm commits to uncoded data, enabling on-the-fly coding for verification, which drastically strengthens light client security guarantees.
This research introduces a novel data availability sampling method, enhancing blockchain scalability and security through dynamic, on-the-fly data encoding.
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