AI Briefing#daangn
The latest AI and developer news about #daangn, with the original source and a short summary.
The latest AI and developer news about #daangn, with the original source and a short summary.
Carrot launched Korea's first advertising MCP as a public beta on September 16.
The platform introduces a structure where AI generates test flows, executes them on real devices, and performs self-recovery upon failure.
Handled 15 ordering change requests over 4.5 months, validated by 29 CI test cases.
Daangn outlines the evolution of its authentication system from SMS verification and identity confirmation to SSO and global adaptation.
Daangn's Data Value Team introduces an in-house experiment platform that supports everything from A/B test design to analysis.
Danggeun introduced a hybrid system combining AWS CloudHSM and KMS to securely process an average of 65 million JWT signings per day.
Karrot Market shared its experience of integrating frontend and backend developers into a single team and the resulting outcomes.
This introduces the system architecture and technical choices behind the community service that Karrot built to handle 10 million MAU.
This piece covers what Danggeun's design system team thinks about beyond simply making components, in order to improve both the product's efficiency and quality.
Karrot built DT Platform, a dedicated ELT platform, to efficiently transfer data from more than 200 global service DBs to BigQuery.
Karrot accumulated deployment records in Notion and used an LLM to automatically generate release notes.
User embeddings trained on long-term logs, combined with RCBS, significantly boosted recommendation performance.
Karrot's short-form team split off **40MB** of editing features into an **On-demand DFM**, reducing the burden on global users.
We worked around the keyboard-push issue in iOS Webview using an opacity trick.
By turning code-managed user behavior logs into a UI-based platform, Karrot improved consistency and automation.
Daangn built User Activation as a company-wide common data layer to improve data reliability and operational efficiency.