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
Futures Kickoff
Get prepared for your futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to experience 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
Let AI implement a quite complex feature. I didn't have time to continuously review, so I used the Vibe Coding approach to let it add e2e tests by itself, then had another AI review and iterate feedback. In the end, the report was perfect, all functionalities were implemented, and there were no errors in testing.
Feeling great, I submitted a PR for Github Copilot to review. The result was that it created two versions of the core logic at the lowest level—one version implemented the code but didn't import, while the actual effective version was another mocked version😅.
The next challenge for Vibe Coding is how to verify the results to prevent being fooled by AI.