Amazon is expanding in-house AI tool use across 700+ engineering teams, aiming to automate parts of the software development lifecycle from planning to testing and deployment. A confidential document reportedly measures adoption via tool usage, active users, and output-linked metrics tied to “value deriving events.” Despite internal concerns like AI sprawl and unclear progress tracking, Amazon pushes for measurable efficiency gains.
San Francisco startup Poolside has launched Laguna XS.2, a high-performing, Apache 2.0 open-weight AI model aimed at agentic coding—writing code and using tools locally. Developers can download it to run on a laptop with quantization, while the larger Laguna M.1 is temporarily offered for free via APIs. Poolside also introduced “pool” and “shimmer” to turn models into hands-on coding agents.
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