Reliability‑first SDK Practices
Summary: An overview of testing strategies, versioning, and documentation patterns that help open‑source SDKs serve diverse users without endorsing specific products.
Principles
- Design for graceful failure and clear error surfaces.
- Automate tests covering edge cases (timeouts, partial responses).
- Document constraints candidly; highlight trade‑offs.
- Respect user privacy; avoid fingerprinting; provide opt‑out analytics.
Example pseudo‑code
// Pseudo‑code only. This site does not run blockchain transactions.
const client = createClient({ endpoint: "https://example.invalid" });
try {
const res = await client.fetch({ path: "/status", timeoutMs: 1500 });
if (!res.ok) throw new Error("Unreliable endpoint");
console.log("Healthy");
} catch (err) {
console.warn("Handle outage respectfully", err);
}
These patterns apply generally to networked software and are not specific to asset speculation.
Sui Object‑Centric Design
Summary: Practical tips for modeling ownership, capabilities, and composability using object graphs. Focus is on software safety and clarity.
Key concepts
- Ownership: who can mutate a given object and under which conditions.
- Capabilities: granular permissions for specific actions.
- Composability: composing objects without unsafe side‑effects.
Example schemas
// High‑level pseudo‑schema (illustrative only)
Object User { id: UID, profile: Profile }
Object Profile { handle: string, avatarRef: Ref? }
Object Article { id: UID, title: string, author: Ref(User), tags: string[] }
Capability EditArticle { holder: Ref(User), article: Ref(Article) }
Clear, auditable data design aids long‑term maintainability and user safety.
Security Conversations with Reviewers
We asked independent reviewers what they wish teams did earlier. Themes include testable requirements, explicit threat models, and realistic timelines for mitigations.
Highlights
- Write “abuse stories” alongside user stories.
- Record assumptions; confirm them with structured tests.
- Plan for deprecation and migrations.
Throughput, Latency, and Real‑World UX
High tps headlines are tempting, but end‑to‑end user experience also depends on reliability, client performance, and error messaging.
Metric | Meaning | Why it matters |
p95 latency | 95th percentile response time | Smoothness under load |
Error budget | Allowable failure threshold | Resilience planning |
Cold start | Initial load time | Perceived speed |