Codacy
Static analysis and quality gates for engineering teams.
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
AI-powered code reviewer that speeds up CI/CD pipelines
Shippie integrates large language models into your CI/CD workflow to automatically detect secrets, inefficiencies, bugs, and edge cases, offering both CLI and GitHub Action reviews.
Shippie is designed for development teams that want automated, intelligent code quality checks baked directly into their CI/CD pipelines. By leveraging large language models, it acts like a human reviewer, spotting exposed credentials, performance regressions, and subtle bugs before code reaches production.
Run Shippie locally with a simple npx shippie review command to evaluate staged files, or configure it as a GitHub Action for continuous integration. Custom rule files let you tailor the checks to your project's standards, while the Model Context Protocol (MCP) enables integration with external tools such as observability platforms. Installation works with bun, npm, or pnpm, and the tool operates under an MIT license.
After cloning the repository, install dependencies, add your OpenAI (or compatible) API key, and start the service. Shippie fits naturally into existing workflows, providing fast, AI‑driven feedback without replacing traditional linting tools.
When teams consider Shippie, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Pre‑merge secret scanning
Blocks pull requests that contain hard‑coded API keys or passwords.
Performance regression detection
Flags newly introduced slow loops or inefficient algorithms before release.
Bug edge‑case identification
Highlights potential null dereferences or unhandled exceptions in recent commits.
Local staged file review
Provides developers immediate AI feedback on code they are about to commit.
Yes, Shippie requires an API key from a supported LLM provider such as OpenAI.
While GitHub Actions are documented, the CLI can be invoked in any pipeline, making it compatible with GitLab, CircleCI, etc.
Rule files can be added to the project to customize which checks run and their severity.
Only the usage fees of the underlying LLM provider; Shippie itself is free under the MIT license.
No, because it relies on remote LLM APIs; offline use is not supported.
Project at a glance
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