Squire AI is a context-aware agent designed to assist users in managing coding assignments and pull requests. It operates by writing pull request descriptions and reviewing PRs, all while learning and adapting to your style of coding and code review. It's designed to expedite code review process by offering immediately available, precise, and intelligent feedback. This tool not only helps to enhance code quality by catching issues - ranging from systemic breaking changes and security concerns to minor spelling errors - but also emulates your teams code review style through explicit configuration and learning from your team's interactions. Its prime purpose is to make the pull request process more efficient by providing clear descriptions and changelogs instead of verbose explanations commonly associated with manual reviews. Moreover, the MLOps tool also implements code review feedback, which potentially leads to making fewer errors in subsequent coding task. Aimed at fast-shipping teams, Squire AI offers an inclusive pricing plan based on the number of GitHub users. Notably, the tool strives to speed up the code review procedure and ensure constant codebase improvements.