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Description

Norma consistently verifies AI-generated code against a set of governed rules, delivering the same outcome each time. This verification process occurs in two distinct environments: Livecheck, which assesses a specific file or code snippet upon request from editors such as Cursor, Claude Code, Windsurf, or VS Code, and Full Scan, which conducts a thorough audit of an entire GitHub or Bitbucket repository, identifying the technology stack and frameworks even in the absence of a configuration file, while prioritizing issues based on severity and providing the necessary context for remediation. Evaluations of the rules are conducted through static analysis, ensuring that results remain consistent across different runs. The rules are derived from SOLID design principles and specific conventions for various technology stacks, with the flexibility to disable those that are not applicable. The coverage of this system includes multiple programming languages and frameworks, such as JavaScript, TypeScript, Python, PHP, Java, Node, React, and Supabase. Additionally, the MCP server provides a range of functionalities, including link_repository, get_rulesets, get_rules_for_ruleset, live_check, get_open_issues, and register_applied_actions, all secured by OAuth and listed on the Official MCP Registry. This robust framework ensures that developers can maintain high code quality while adapting to various project requirements seamlessly.

Description

Blanket.js is a user-friendly JavaScript code coverage library designed to simplify the installation, usage, and understanding of code coverage metrics. This tool allows for seamless operation or tailored customization to suit specific requirements. By providing code coverage statistics, Blanket.js enhances your current JavaScript tests by indicating which lines of your source code are being tested. It achieves this by parsing the code with Esprima and node-falafel, then adding tracking lines for analysis. The library integrates with test runners to produce coverage reports after test execution. Additionally, a Grunt plugin enables Blanket to function as a traditional code coverage tool, producing instrumented versions of files rather than applying live instrumentation. Blanket.js can also execute QUnit-based reports in a headless manner using PhantomJS, with results shown in the console. Notably, if any predefined coverage thresholds are not satisfied, the Grunt task will fail, ensuring that developers adhere to their quality standards. Overall, Blanket.js serves as an effective solution for developers seeking to maintain high test coverage in their JavaScript applications.