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MODEL · ENTITY #4581

Claude Sonnet

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2

CODING · 1 SOURCE · AWS Machine Learning

AWS guide: building a contract-intelligence platform with Bedrock AgentCore

An AWS how-to describes an architecture for a React web app that converts portfolios of contract PDFs into structured, queryable data: AI extraction agents running via Amazon Bedrock (AgentCore) use Claude Sonnet to extract fields and Claude Haiku to verify them, Amazon Textract acts as a deterministic tiebreaker for signatures, results are stored in Amazon Aurora PostgreSQL, and users query via embedded analytics and a natural-language chat interface with real-time pipeline status over WebSocket.

6.0

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

DoorDash uses multi-agent LLMs to automate cleanup of 60,000 feature flags

DoorDash built a multi-agent LLM workflow (using Google’s Agent Development Kit and Claude models) to identify and remove stale feature flags across ~623 repositories and ~60,000 flags. In a 50-flag evaluation the system produced usable pull requests for 45 flags, averaging 13.8 minutes and $4.79 per cleanup, running agents in isolated Git worktrees, validating builds/tests/coverage, and integrating with Jira and the Model Context Protocol (MCP).

7.0