Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Meta Internal Document Leaks AI Coding Metrics: 65% of Engineers Must Use AI for Over 75% of Code
According to monitoring by 1M AI News, an internal document from Meta reveals that the company is setting specific AI tool usage targets for various business units, as part of CEO Mark Zuckerberg’s latest initiative to transform Meta into an ‘AI-native’ company. The most aggressive metrics in the document come from the Creation team, responsible for core creative experiences: by the first half of 2026, 65% of engineers must use AI to complete over 75% of their submitted code. The Scalable ML team has set a target for February 2026 of 50% to 80% of code to be assisted by AI, although a senior engineering manager noted, ‘We are not tracking this metric.’ At the company level, the document outlines targets for the fourth quarter of 2025 covering core products like Messenger, WhatsApp, and Facebook: 80% of mid-to-senior engineers must adopt AI tools such as DevMate, Metamate, and Google Gemini (focusing on ‘tool adoption’ rather than the proportion of AI-generated code), and 55% of code changes must be ‘agent-assisted.’ It remains unclear whether these targets are linked to performance evaluations. CTO Andrew Bosworth announced this week that he will personally oversee Meta’s ‘AI for Work’ initiative to promote the comprehensive adoption of internal AI tools. Some Reality Labs employees have been reassigned new titles such as ‘AI Builder,’ ‘AI Pod Lead,’ and ‘AI Org Lead,’ reflecting the company’s shift towards smaller teams and a flatter structure. A Meta spokesperson stated that the performance system focuses on the actual impact of AI tools rather than mere usage rates.