Results for “dep”

Systematically repair a broken feature or module by scoping, tracing dependencies, diagnosing all issues, fixing them in order, and verifying end-to-end.

Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building maintainable .NET applications.

Organizes Flutter code into domain, data, and presentation layers with unidirectional dependencies, using BLoC, use cases, and repository patterns for testable, maintainable enterprise applications.

Ensure .NET/C# code meets project-specific best practices for structure, design patterns, dependency injection, async/await, testing, configuration, and security.

Safely change and test untested codebases using techniques from Feathers' 'Working Effectively with Legacy Code': seams, characterization tests, sprout/wrap, and dependency-breaking.

Provides idiomatic C# and .NET patterns covering immutability, dependency injection, async/await, options, result, repository, middleware, and minimal API conventions for building maintainable applications.

Mechanically replace static dependency call sites with wrapper or built-in abstraction calls across a bounded scope, such as migrating DateTime.UtcNow to TimeProvider.GetUtcNow() or File.ReadAllText to IFileSystem.

Finds and safely removes dead code across a codebase: unreachable paths, unused exports, functions, variables, CSS selectors, dependencies, env vars, and commented-out blocks. Builds an import graph, verifies no dynamic references, and runs build and tests after cleanup.

Guides efficient coding by enforcing a strict ladder of reuse, standard library, and minimal code before writing anything new.

Creates a concrete, multi-phase plan before starting a multi-file refactor, including affected files, dependencies, verification steps, and rollback procedures.

Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation.

Finds architectural friction in a codebase and proposes deep-module refactors to improve testability and AI-navigability, informed by the domain glossary and ADRs.

Identifies and removes dead code safely, with test verification at each step and categorization of risk levels.

Keeps AI coding agents tightly scoped by enforcing minimal changes, simplest solutions, and asking before expanding scope or adding dependencies.

Splits, merges, moves, or deletes code while preserving behavior, tests, contracts, and boundaries, with characterization evidence and reversible steps.

Provides grep scan commands for auditing React codebases before upgrading to React 18.3.1 or React 19.

Query a pre-indexed codebase via CLI to understand structure, find symbols, assess change impact, debug failures, and evaluate PR risk.

Assesses and automates upgrades of Azure workloads between plans, tiers, or SKUs, and modernizes Azure SDK for Java dependencies in source code.

Migrate legacy Android camera implementations (Camera1 or raw Camera2 APIs) to CameraX, a lifecycle-aware Jetpack library that resolves rotation issues and handles device dependencies.

Provides structured prompts for analyzing, planning, and executing .NET framework upgrades, covering project assessment, dependency management, code modernization, CI/CD updates, testing, and documentation.

Provides patterns and strategies for migrating imperative TypeScript code to fp-ts functional programming patterns, covering error handling, null checks, callbacks, dependency injection, and loops.

Designs incremental migration strategies, identifies service boundaries, produces dependency maps and migration roadmaps, and generates API facade designs for aging codebases.

Organizes Flutter code by business features instead of technical layers, with self-contained folders for UI, logic, and data, plus a recommended project structure and dependencies.