AICHE +

V

Visual Studio 2022 Integration

The short answer: open Visual Studio 2022, position cursor in XML doc comment or text file, press Ctrl+Alt+R, speak your detailed documentation for 60-120 seconds, and AICHE inserts comprehensive technical documentation.

Typing thorough XML documentation comments for public APIs and detailed README explanations takes significant time away from actual development, yet proper documentation prevents support issues months later.

1. Open Visual Studio 2022 with your C# or C++ project.
2. Position cursor above a method, class, or property and type /// to start XML doc comment.
3. Press your AICHE hotkey to start recording.
4. Speak your documentation naturally (example: "summary retrieves paginated list of active users from database with optional filtering by role and account status, param name search term optional search string that matches against username email or full name using full text search, param name page number one-based page number for pagination defaults to 1 if not provided must be greater than zero, param name page size number of records per page defaults to 20 maximum allowed is 100 to prevent performance issues, param name role filter optional user role filter accepts values admin user or guest case insensitive, param name include inactive boolean indicating whether to include inactive accounts in results defaults to false, returns generic list of user DTO objects with id username email full name role and account status properties, remarks this method uses Entity Framework with compiled queries for performance caching results for 5 minutes in Redis, implementation includes row level security ensuring users can only access accounts within their organization context, throws argument exception if page number is less than 1 or page size exceeds 100, throws unauthorized exception if current user lacks permission to view user list based on role, example usage demonstrate calling method with search term page 1 size 50 and admin role filter showing typical response object structure").
5. Press the hotkey again - AICHE transcribes and inserts the XML documentation.
6. Format XML tags manually (<summary>, <param name="...">, etc.) if needed, or use Visual Studio's quick actions.

XML Documentation Comments

Comprehensive API Documentation

Complex methods need detailed specifications. Example: "summary asynchronously processes payment transaction with retry logic and fraud detection integration, param name payment request payment request DTO containing amount currency customer ID payment method token and billing address information, param name cancellation token cancellation token allowing caller to cancel long running payment operations, returns payment result DTO with transaction ID status timestamp and payment method details on success or error details on failure, remarks this method integrates with Stripe API for payment processing and uses fraud detection service to screen transactions before charging payment method, implementation uses exponential backoff retry strategy up to 3 attempts for transient failures like network timeout, performs idempotency check using request_id to prevent duplicate charges if client retries, validates payment amount against customer's purchase order limits before processing, logs all payment attempts including successes and failures for audit trail and PCI compliance, throws argument null exception if payment request is null or required fields are missing, throws invalid operation exception if customer account is suspended or payment method is expired, throws payment gateway exception if Stripe API returns unrecoverable error after all retry attempts, example usage show creating payment request setting amount and currency initiating async payment call with cancellation token and handling success versus failure cases in calling code, security considerations explain PCI compliance requirements for handling payment tokens never logging full credit card numbers and using TLS 1.2 minimum for API communication".

Comprehensive XML docs help team members use your APIs correctly without reading implementation code.

Complex Algorithm Documentation

Algorithmic code benefits from detailed explanations. Example: "summary implements depth first search algorithm to detect cycles in directed graph using recursive approach with backtracking, param name graph adjacency list representation where each key is vertex and value is list of adjacent vertices, param name visited dictionary tracking which vertices have been fully explored key is vertex value is boolean, param name recursion stack set containing vertices currently in recursion call stack used to detect back edges indicating cycles, param name current vertex the vertex being examined in current recursive call, returns true if cycle is detected false if graph section is acyclic, remarks this algorithm runs in O of V plus E time complexity where V is vertices and E is edges space complexity is O of V for recursion stack in worst case, implementation uses white gray black coloring scheme where white is unvisited gray is currently being explored and black is fully explored finding gray vertex during exploration indicates cycle, algorithm handles disconnected graphs by calling this method for each unvisited vertex from main detection loop, marks vertices as visited to prevent redundant exploration improving performance on large graphs, throws argument null exception if graph or visited dictionary is null, example usage demonstrate creating sample graph with cycle showing detection returning true then acyclic graph returning false, use cases include dependency resolution in build systems detecting circular imports in module loading and validation of task scheduling graphs".

Algorithm documentation prevents future developers from needing to trace execution mentally.

README and Documentation Files

Project Setup Documentation

Comprehensive READMEs need structured content. Example: "project name enterprise inventory management API, description RESTful API for managing warehouse inventory with real time stock updates barcode scanning integration and multi-location support built with ASP dot NET Core 8 and SQL Server, features include CRUD operations for products categories and locations, barcode generation and scanning using ZXing library, real time stock level updates with SignalR notifications, multi-warehouse support with transfer tracking between locations, role based access control with JWT authentication, automated reorder point alerts when stock falls below threshold, audit logging for all inventory changes, installation requirements .NET 8 SDK SQL Server 2019 or higher Redis for caching optional, clone repository and restore NuGet packages using dotnet restore, configure connection string in appsettings.json for SQL Server database, run migrations using dotnet ef database update to create schema, seed initial data using dotnet run dash dash seed-data command, start development server with dotnet run API listens on localhost port 5000 and 5001 for HTTPS, API documentation available at slash swagger showing all endpoints with request and response examples, testing run unit tests with dotnet test coverage target is 80 percent for business logic, integration tests require test database configured in appsettings.test.json, deployment supports Docker containerization with provided Dockerfile multi stage build for optimized image size, environment variables documented in docker-compose.yml file for connection strings API keys and feature flags, production deployment guide in docs folder covers Azure App Service configuration database migration strategy and monitoring setup, architecture follows clean architecture pattern with separate projects for domain application infrastructure and API layers, contribution guidelines require XML documentation for all public APIs unit tests for new features and PR review from 2 team members, license MIT see LICENSE file for full text".

Detailed READMEs reduce onboarding time for new developers from days to hours.

Result: typing comprehensive Visual Studio XML documentation and README files that takes 25 minutes per API or 2 hours per project becomes 6 minutes of dictation and 18 minutes of formatting, and you'll actually document code instead of postponing it until "later" that never comes.

Do this now: open Visual Studio with your project, find one undocumented public method, type /// above it, press your hotkey, and spend 90 seconds dictating complete documentation including parameters return values exceptions examples and security considerations. Watch IntelliSense immediately show your documentation to other developers.