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How Baz improved its AI Agent Code Review accuracy using Amazon Bedrock AgentCore | Amazon Web Services

How Baz improved its AI Agent Code Review accuracy using Amazon Bedrock AgentCore | Amazon Web Services

Code review was always manual and ineffective because of the inherent disconnect between code and product. Developers could review whether code compiled and worked, but not whether it fulfilled all functional and design requirements. In the past, QA teams spent hours manually clicking through preview environments to ensure features behaved as expected, and even more time aligning implementations with design intent. This manual validation slowed delivery, introduced inconsistency, and increased the likelihood of regressions. With the increased velocity of development teams, Baz wanted to automate this missing layer of verification, bringing intent, behavior, and implementation into a single review workflow.

This post walks through how Baz built their Spec Review agent using Amazon Bedrock and Amazon Bedrock AgentCore. We’ll cover the architecture decisions, implementation details, and the business outcomes they achieved by leveraging these AWS services to automate…

https://aws.amazon.com/blogs/machine-learning/how-baz-improved-its-ai-agent-code-review-accuracy-using-amazon-bedrock-agentcore/

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