Cursor rule Cursor
Code quality standards - SOLID, DRY, clean code practices, naming, error handling, immutability. Universal across languages and frameworks.
Cursor rule Cursor
Code quality standards - SOLID, DRY, clean code practices, naming, error handling, immutability. Universal across languages and frameworks.
Cursor rule Cursor
Code quality standards - SOLID, DRY, clean code practices, naming, error handling, immutability. Universal across languages and frameworks.
Cursor rule Cursor
Communication guidelines - direct, honest, objective interaction when assisting with development. Tone, code communication, avoiding common issues.
Cursor rule Cursor
Core principles - honesty over output, simplicity, tests required, professional objectivity, incremental progress. Universal guidance for all development.
Cursor rule Cursor
Core principles - honesty over output, simplicity, tests required, professional objectivity, incremental progress. Universal guidance for all development.
Cursor rule Cursor
Guidelines for AI-assisted development using Gemini CLI.
Cursor rule Cursor
Git workflow - commits, branching, PRs, safety rules. Universal git practices for clean, traceable project history.
Cursor rule Cursor
JavaScript Language Deep Dive.
Cursor rule Cursor
Production Node.js patterns for services, CLIs, and tooling.
Cursor rule Cursor
JavaScript & TypeScript Expert.
Cursor rule Cursor
Profile first. Measure before and after. Never optimize without data.
Cursor rule Cursor
Expert-level React patterns for production UI applications.
Cursor rule Cursor
Cursor rule "javascript-expert-testing" from djm204/frankenbeast, covering javascript testing, unit tests, component tests, mocking (msw for apis) and e2e tests (playwright).
Cursor rule Cursor
Modern JavaScript tooling configuration and best practices.
Cursor rule Cursor
Advanced type system mastery. Builds on overview.mdc (discriminated unions, branded types, const assertions).
Cursor rule Cursor
Data pipelines, validation, feature engineering, and training/serving parity.
Cursor rule Cursor
ML deployment—real-time vs batch, KServe/Triton, scaling, versioning, rollback. Package model and deps; same preprocessing as training.
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Model development—experiment tracking, metrics, evaluation by segment, hyperparameter tuning. Reproducibility; version data, code, config.
Cursor rule Cursor
ML monitoring—data and concept drift, performance tracking, latency and throughput. Evidently/WhyLabs-style checks; alerts on degradation.
Cursor rule Cursor
ML/AI Development Overview.
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ML security and responsible AI—input validation, adversarial robustness, fairness, explainability. Data poisoning, extraction, abuse; NIST-aligned.
Cursor rule Cursor
ML testing - data validation, transform parity, model behavior, integration. Statistical correctness; train/serve consistency.
Cursor rule Cursor
Best practices for building maintainable test automation.
Cursor rule Cursor
Measure and improve quality with actionable metrics.