With blockchain and decentralized finance, building a strong chain of evidence is essential during the development process. This structured approach can speed up implementation and reduce the risk of bugs that can harm projects, according to Cardano founder Charles Hoskinson.
A clear example of this is the success with Peras, where the chain of evidence helped prevent critical issues such as those in Solana. By carefully moving from research to analysis, developers can create a secure foundation for their blockchain projects while maintaining rapid iteration.
The chain of evidence must be built from the paper. That’s what we did with peras. It greatly speeds up deployment and prevents Solana-like bugs pic.twitter.com/uXNvoQLKoJ
— Charles Hoskinson (@IOHK_Charles) October 15, 2024
The stages of a strong chain of evidence
Creating a solid chain of evidence requires following a series of defined stages, starting with thorough research, which forms the basis for the entire process. Then create detailed specifications that detail every technical detail needed for a smooth implementation.
Once the specifications are established, executive specifications should follow, defining the operational aspects and how the system should function. Testing and prototyping are the next crucial steps.
These phases allow developers to identify and address issues early so that the product develops smoothly. Prototyping also allows teams to evaluate their designs in real-world conditions, potentially revealing hidden flaws.
Simulations, analyzes and cross-verification
After the initial phase, simulations become important. They replicate system operating conditions and provide insight into performance and scalability. Analytics helps interpret the results of simulations and tests, allowing >
By crossing models during this process, developers can catch inconsistencies and bugs before they impact the system. This ensures that models are compared against each other, ensuring robust performance in different scenarios.
Rapid iteration for continuous improvement
Rapid iteration is key to building a robust chain of evidence. Teams should focus on asking targeted questions and seeking accurate answers at every stage, rather than striving for instant perfection. Iteration promotes flexibility, allowing developers to quickly adapt to new challenges.
By treating perfection as an ongoing goal, developers can ensure continuous refinement. This approach speeds deployment and ensures more reliable and secure systems, reducing the risk of disruptive bugs.
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