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Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS expertise.
The tech is impressive, the trajectory problematic. Betting your agents on one cloud is a strategic mistake.
Tap these Model Context Protocol servers to supercharge your AI-assisted coding tools with powerful devops automation capabilities.
If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges.
Learn how to configure Spring AI to interact with large language models, support user-generated prompts, and connect with a vector store and simple RAG service in your Spring-based applications.
Kiro powers allow developers to customize Kiro agents for specific workflows by dynamically loading steering files for context and MCP servers for specialized tool access.
25 frontier proprietary and open-weight models yielded high attack success rates when prompted in verse, indicating a deeper, underlying problems in their ability to process ambiguity veiled in poetry.
AWS Frontier agents work independently on specialized tasks, with the first three agents focused on autonomous coding, application security, and devops.
For organizations introducing AI agents into employee workflows and customer experiences, data risk cannot be an afterthought. Here are seven practices to ensure your enterprise data is ready for AI.
Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards.