Applies C++-specific testing and design practices for ownership, private implementation boundaries, fatal assertions, death tests, and precise matchers. Use when C++ language or test-runtime semantics matter.
Applies Java-specific testing and design practices for framework boundaries, presenter separation, resource lifetime, and explicit collaborators. Use when Java runtime or framework mechanics matter.
Helps AI agents write good code by applying reliable practices for implementation, testing, API design, refactoring, and review across programming languages. Use for software engineering tasks where correctness, clarity, or maintainability matters.
Enforces a strict Zero-Slop Policy across code comments, documentation, and Git commit messages, eliminating low-density filler, prompt regurgitation, and mechanical restatements.
Designs hard-to-misuse APIs with explicit types, clear ownership, and injected collaborators. Use when changing signatures, data models, interfaces, constructors, or module boundaries in any language.
Improves production code with clear control flow, precise naming, efficient data access, and focused cleanup. Use when writing, reviewing, or refactoring code in any programming language.
Reviews code changes and prepares focused pull requests with evidence-backed feedback. Use when reviewing diffs, organizing commits, or preparing a change in any programming language.
Applies Go-specific engineering practices, standard-library APIs, deterministic tests, and the gojgp analyzer. Use when writing, changing, testing, or reviewing Go code.