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Evaluates Next.js App Router code against best practices for Server Components, Client Components, Server Actions, caching strategies, and production-readiness criteria. Produces actionable findings categorized by severity with concrete code examples. Delegates to typescript-software-architect-review agent for architectural analysis.

Expert code review identifying security vulnerabilities, performance issues, and quality problems. \n \n Organizes findings by priority: security (critical), performance (high), correctness (high), maintainability (medium), and testing \n Covers five core vulnerability categories: SQL injection, XSS, authentication bypasses, hardcoded secrets, and insecure dependencies \n Detects performance bottlenecks including N+1 queries, missing indexes, inefficient algorithms, and memory leaks \n Provides

Behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity and clarity in coding practices.

Perform comprehensive code reviews of GitLab merge requests, providing actionable feedback on code quality, security, performance, and best practices.

Refactor code while preserving behavior, improving clarity, and reducing complexity. \n \n Covers five core refactoring patterns: Extract Method, DRY principle removal, conditional-to-polymorphism conversion, parameter object introduction, and SOLID principle application \n Includes behavior validation workflow with pre-refactoring analysis, post-refactoring testing (unit, type, lint, snapshot), and change documentation \n Provides refactoring checklist covering function length, parameter count,

Find unused functions and dead code using TLDR static analysis.

Simple, pragmatic, opinionated. Only what matters for writing production-grade Rust code.

Comprehensive, library-agnostic checklist for reviewing Flutter/Dart applications. These principles apply regardless of which state management solution, routing library, or DI framework is used.

Expert code review of current git changes with a senior engineer lens. \n \n Detects SOLID violations (SRP, OCP, LSP, ISP, DIP), architecture smells, and proposes incremental refactors with clear rationale \n Scans for security risks including injection, XSS, AuthZ gaps, race conditions, and unsafe deserialization with exploitability assessment \n Identifies removal candidates and unused code with safe deletion vs. deferred plans and concrete follow-up checkpoints \n Flags code quality issues: e

Simple, pragmatic, opinionated. Only what matters for writing production-grade SQLAlchemy and Alembic code.