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Basic Information

Shire is an AI coding agent language and toolkit designed to connect large language models with development environments and toolchains so teams can build customizable AI copilots for programming tasks. It provides a domain-specific language and plugin integrations to enable automated programming actions inside IDEs, terminals and CI/CD workflows. The repository documents the language, example projects, SDLC workflows and integrations that demonstrate how LLMs can analyze requirements, pick files to change, generate CRUD code, design APIs, produce tests and documentation, and orchestrate multi-step development tasks. It targets developer teams and tool maintainers who want to embed agentic automation into editors, version control and DevOps systems. The project includes examples, cheatsheets, architecture diagrams, and references to demo projects to help implement and adapt Shire to existing development ecosystems.

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App Details

Features
Shire provides an agent language and examples for automated programming with multiple integration points. Notable capabilities include IDE integration patterns such as inline chat, custom chat boxes, context menus and quick input; SDLC workflows like code change analysis, requirement-driven CRUD generation, OpenAPI design, JavaDoc generation and complexity analysis; testing automation with unit test generation and Playwright E2E flows; toolchain adapters for Git operations, database commands, mock servers via WireMock, refactoring with OpenRewrite, PlantUML and Mermaid generation; interoperability features such as using Python as a foreign function interface, terminal agents, approval gates for staged execution, and shareable agents via Shire.Run. Documentation, cheatsheet and demo projects accompany the code.
Use Cases
Shire helps development teams automate repetitive and complex engineering tasks by translating LLM outputs into concrete IDE and tool actions, reducing manual work across the software lifecycle. It accelerates design and implementation by generating API designs, CRUD code, UI mockups, unit and integration tests, documentation and commit messages. It supports safer automation through approval steps and targeted file change analysis, and it integrates with common DevOps and observability tools so generated changes fit existing pipelines. By offering customizable interaction modes inside editors and terminal environments, Shire enables teams to create tailored AI copilots that improve developer productivity, standardize practices like StreamDiff and FastApply, and make it easier to prototype, test and maintain generated code within established workflows.

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