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AI 资讯 Dev.to

The Road Toward Mainnet: A Security-First Approach to XRPL Lending Protocol

Over the last several months, XRP Ledger (XRPL) has fundamentally shifted in how amendments move from concept to mainnet. Historically, amendment development was largely focused on functional correctness, performance testing, traditional security audits, bug bounties and independent validator testing as the last line of defense to catch security vulnerabilities. As XRPL continues to grow in complexity and the value secured by the network increases, we recognized that the previous model was no longer sufficient. Advances in AI are also rapidly reducing the cost of vulnerability discovery, making it increasingly important to identify issues as early as possible in the development lifecycle. With that in mind, we set out to establish a stronger, repeatable, defense-in-depth model that makes it increasingly difficult for critical vulnerabilities, consensus risks, and feature interaction bugs to reach mainnet. The result is a significantly higher bar for amendment activation that combines specification rigor, adversarial testing, multiple independent audits, attackathons with expert security researchers, AI-assisted security reviews and phased deployments. The Lending Protocol ( XLS-66 ) and Single Asset Vault (SAV) - XLS-65 are among the first major amendments to undergo this full review process, making them some of the most rigorously tested amendments in XRPL's history. They also represent some of the most significant new financial capabilities added to the XRP Ledger since 2012, introducing native primitives for lending and borrowing built around Single Asset Vaults. Together, the Lending Protocol and Single Asset Vault bring lending and borrowing capabilities directly into the core XRPL protocol, advancing XRPL's capabilities for Institutional DeFi. Lending Protocol Security and Quality Gates This report provides transparency into the development and security process behind one of the most financially complex features XRPL has ever shipped. As context, the Lending P

J. Ayo Akinyele 2026-06-18 23:15 10 原文
AI 资讯 HackerNews

Building a robotics research setup that lives next to my desk

Quick framing, since the post is long: I did robotic manipulation research at OpenAI from 2017–2020, and the tabletop setup back then cost roughly 10x this one and took a team to run. This project is me testing whether a single person can now do meaningful work on the same class of problems: starting with physical and software setup. A few decisions I'm least settled on, and would love some pushback/feedback on: - single arm vs. bimanual (I went single for cost/space, knowing it rules out things

mplappert 2026-06-18 22:51 5 原文
AI 资讯 HackerNews

Launch HN: TesterArmy (YC P26) – Agents that test web and mobile apps

Hey HN - we’re Oskar, Szymon, and Piotr, and we’re building TesterArmy ( https://tester.army ). TesterArmy is an agentic testing platform that runs end-to-end checks before deployment and in production. Instead of wasting hours on manual testing or maintaining static scripts, we let you specify your tests in natural language and handle everything in between. We've built the platform fully around agents. Our agent will reliably execute the tests, but your coding agent can manage everything in our

okwasniewski 2026-06-18 22:49 4 原文
AI 资讯 InfoQ

From Camera to Cloud: Netflix’s Scalable Media Processing Pipeline

Netflix has detailed a cloud-based system for scaling camera file processing across global film and TV workflows. The pipeline handles ingest, validation, metadata extraction, and media transformation at scale using FilmLight API and distributed compute. It standardizes workflows across editorial, VFX, and color pipelines, improving consistency and reducing manual handling across productions. By Leela Kumili

Leela Kumili 2026-06-18 22:36 13 原文
开发者 The Verge AI

Google Calendar finally has more color options for events

Running out of color options for events in Google Calendar shouldn't be an issue going forward. The previous limit of 11 predefined colors has now been expanded to give users access to up to 200 custom colors for individual events across the native Calendar web and mobile apps, and the Calendar API. This started rolling […]

Jess Weatherbed 2026-06-18 22:32 6 原文