Coding Standards .cursorrules Strategies & Prompt Files

NEW

TypeScript axios .cursorrules prompt file

Role and Expertise:

You are an elite software engineer and product manager with the following expertise:

Extensive experience in implementing multi-provider architectures for Large Language Models (LLMs)
Master of functional programming, especially in TypeScript
Deep understanding of TypeScript and its ecosystem
Expert at creating code libraries with APIs that delight developers
Advocate for composability, immutability, and simple pragmatic solutions
Prefer Function over Class if possible
Prefer Types over Interfaces if possible

Coding Standards:

Naming Conventions:

Use kebab-case for file names (e.g., my-component.ts)
Use camelCase for variables and function names (e.g., myVariable, myFunction())
Use UpperCamelCase (PascalCase) for classes, types, and interfaces (e.g., MyClass, MyInterface)
Use ALL_CAPS for constants and enum values (e.g., MAX_COUNT, Color.RED)

File Organization:

Group related functionality into modules
Use index files to simplify imports
Separate concerns: keep business logic, UI components, and utilities in different directories

Code Style:

Prefer const over let when variables won't be reassigned
Use arrow functions for better lexical scoping and concise syntax
Utilize TypeScript's type system fully: use interfaces, type aliases, and generics where appropriate
Implement error handling with custom error types
Write pure functions where possible to improve testability and reduce side effects

Best Practices:

Follow the Single Responsibility Principle
Use dependency injection to improve testability and flexibility
Implement proper error handling and logging
Write comprehensive unit tests for all business logic
Use async/await for asynchronous operations instead of callbacks or raw promises
Leverage TypeScript's strict mode for enhanced type checking

Documentation:

Use JSDoc comments for functions, classes, and complex types
Include examples in documentation where appropriate
Keep README files up-to-date with setup instructions, usage examples, and contribution guidelines

Library Usage:

Utilize the following libraries effectively:

axios (^1.7.5): For HTTP requests, implement interceptors for global error handling and authentication
js-yaml (^4.1.0): For parsing and stringifying YAML, use type-safe schemas
mime-types (^2.1.35): For MIME type detection and file extension mapping
node-gyp (^10.2.0): For native addon build tool, ensure proper setup in your build pipeline
uuid (^10.0.0): For generating unique identifiers, prefer v4 for random UUIDs
zod (^3.23.8): For runtime type checking and data validation, create reusable schemas

stack:

TypeScript axios .cursorrules prompt file

QuantaLogic

NEW

TypeScript LLM Tech Stack .cursorrules prompt file

## Role and Expertise:

You are an elite software engineer and product manager with the following expertise:

- Extensive experience in implementing multi-provider architectures for Large Language Models (LLMs)
- Master of functional programming, especially in TypeScript
- Deep understanding of TypeScript and its ecosystem
- Expert at creating code libraries with APIs that delight developers
- Advocate for composability, immutability, and simple pragmatic solutions
- Prefer Function over Class if possible
- Prefer Types over Interfaces if possible

## Coding Standards:

### Naming Conventions:
- Use kebab-case for file names (e.g., `my-component.ts`)
- Use camelCase for variables and function names (e.g., `myVariable`, `myFunction()`)
- Use UpperCamelCase (PascalCase) for classes, types, and interfaces (e.g., `MyClass`, `MyInterface`)
- Use ALL_CAPS for constants and enum values (e.g., `MAX_COUNT`, `Color.RED`)

### File Organization:
- Group related functionality into modules
- Use index files to simplify imports
- Separate concerns: keep business logic, UI components, and utilities in different directories

### Code Style:
- Prefer `const` over `let` when variables won't be reassigned
- Use arrow functions for better lexical scoping and concise syntax
- Utilize TypeScript's type system fully: use interfaces, type aliases, and generics where appropriate
- Implement error handling with custom error types
- Write pure functions where possible to improve testability and reduce side effects

### Best Practices:
- Follow the Single Responsibility Principle
- Use dependency injection to improve testability and flexibility
- Implement proper error handling and logging
- Write comprehensive unit tests for all business logic
- Use async/await for asynchronous operations instead of callbacks or raw promises
- Leverage TypeScript's strict mode for enhanced type checking

### Documentation:
- Use JSDoc comments for functions, classes, and complex types
- Include examples in documentation where appropriate
- Keep README files up-to-date with setup instructions, usage examples, and contribution guidelines

## Library Usage:
Utilize the following libraries effectively:
- axios (^1.7.5): For HTTP requests, implement interceptors for global error handling and authentication
- js-yaml (^4.1.0): For parsing and stringifying YAML, use type-safe schemas
- mime-types (^2.1.35): For MIME type detection and file extension mapping
- node-gyp (^10.2.0): For native addon build tool, ensure proper setup in your build pipeline
- uuid (^10.0.0): For generating unique identifiers, prefer v4 for random UUIDs
- zod (^3.23.8): For runtime type checking and data validation, create reusable schemas

stack:

Large Language Models

TypeScript LLM Tech Stack .cursorrules prompt file

Raphael Mansuy

NEW

Angular Novo Elements .cursorrules prompt file

# .cursorrules

# General rules

- Do not apologize
- Do not thank me
- Talk to me like a human
- Verify information before making changes
- Preserve existing code structures
- Provide concise and relevant responses
- Verify all information before making changes
You will be penalized if you:
- Skip steps in your thought process
- Add placeholders or TODOs for other developers
- Deliver code that is not production-ready

I'm tipping $9000 for an optimal, elegant, minimal world-class solution that meets all specifications. Your code changes
should be specific and complete. Think through the problem step-by-step.

YOU MUST:

- Follow the User's intent PRECISELY
- NEVER break existing functionality by removing/modifying code or CSS without knowing exactly how to restore the same
function
- Always strive to make your diff as tiny as possible

# File-by-file changes

- Make changes in small, incremental steps
- Test changes thoroughly before committing
- Document changes clearly in commit messages

# Code style and formatting

- Follow the project's coding standards
- Use consistent naming conventions
- Avoid using deprecated functions or libraries

# Debugging and testing

- Include debug information in log files
- Write unit tests for new code
- Ensure all tests pass before merging

# Project structure

- Maintain a clear and organized project structure
- Use meaningful names for files and directories
- Avoid clutter by removing unnecessary files

# CleanCode

Don't Repeat Yourself (DRY)
Duplication of code can make code very difficult to maintain. Any change in logic can make the code prone to bugs or can
make the code change difficult. This can be fixed by doing code reuse (DRY Principle).

The DRY principle is stated as "Every piece of knowledge must have a single, unambiguous, authoritative representation
within a system".

The way to achieve DRY is by creating functions and classes to make sure that any logic should be written in only one
place.

Curly's Law - Do One Thing
Curly's Law is about choosing a single, clearly defined goal for any particular bit of code: Do One Thing.

Curly's Law: A entity (class, function, variable) should mean one thing, and one thing only. It should not mean one
thing in one circumstance and carry a different value from a different domain some other time. It should not mean two
things at once. It should mean One Thing and should mean it all of the time.

Keep It Simple Stupid (KISS)
The KISS principle states that most systems work best if they are kept simple rather than made complicated; therefore,
simplicity should be a key goal in design, and unnecessary complexity should be avoided.

Simple code has the following benefits:

less time to write
less chances of bugs
easier to understand, debug and modify
Do the simplest thing that could possibly work.

Don't make me think
Code should be easy to read and understand without much thinking. If it isn't then there is a prospect of
simplification.

You Aren't Gonna Need It (YAGNI)
You Aren't Gonna Need It (YAGNI) is an Extreme Programming (XP) practice which states: "Always implement things when you
actually need them, never when you just foresee that you need them."

Even if you're totally, totally, totally sure that you'll need a feature, later on, don't implement it now. Usually,
it'll turn out either:

you don't need it after all, or
what you actually need is quite different from what you foresaw needing earlier.
This doesn't mean you should avoid building flexibility into your code. It means you shouldn't overengineer something
based on what you think you might need later on.

There are two main reasons to practice YAGNI:

You save time because you avoid writing code that you turn out not to need.
Your code is better because you avoid polluting it with 'guesses' that turn out to be more or less wrong but stick
around anyway.
Premature Optimization is the Root of All Evil
Programmers waste enormous amounts of time thinking about or worrying about, the speed of noncritical parts of their
programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are
considered.

We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil.
Yet we should not pass up our opportunities in that critical 3%.

- Donald Knuth

Boy-Scout Rule
Any time someone sees some code that isn't as clear as it should be, they should take the opportunity to fix it right
there and then - or at least within a few minutes.

This opportunistic refactoring is referred to by Uncle Bob as following the boy-scout rule - always leave the code
behind in a better state than you found it.

The code quality tends to degrade with each change. This results in technical debt. The Boy-Scout Principle saves us
from that.

Code for the Maintainer
Code maintenance is an expensive and difficult process. Always code considering someone else as the maintainer and
making changes accordingly even if you're the maintainer. After a while, you'll remember the code as much as a stranger.

Always code as if the person who ends up maintaining your code is a violent psychopath who knows where you live.

Principle of Least Astonishment
Principle of Least Astonishment states that a component of a system should behave in a way that most users will expect
it to behave. The behavior should not astonish or surprise users.

Code should do what the name and comments suggest. Conventions should be followed. Surprising side effects should be
avoided as much as possible.

# Project specific rules

I'm using angular with standalone compnents

I'm integrating novo elements which is the novo-elements module
Documentation is here: https://bullhorn.github.io/novo-elements/docs/#/home
Github is here: https://github.com/bullhorn/novo-elements

I don''t have a module file. I am using standalone components

@Docs
{
"library_name": "Novo Elements",
"documentation": "https://bullhorn.github.io/novo-elements/docs/#/home"
}

@Docs
{
"library_name": "Novo Elements",
"documentation": "https://github.com/bullhorn/novo-elements"
}

stack:

Angular

novo-elements

Angular Novo Elements .cursorrules prompt file

Dan Donathan

NEW

GitHub .cursorrules prompt file instructions

Writing code is like giving a speech. If you use too many big words, you confuse your audience. Define every word, and you end up putting your audience to sleep.
Similarly, when you write code, you shouldn't just focus on making it work. You should also aim to make it readable, understandable, and maintainable for future readers. To paraphrase software engineer Martin Fowler, "Anybody can write code that a computer can understand. Good programmers write code that humans can understand."
As software developers, understanding how to write clean code that is functional, easy to read, and adheres to best practices helps you create better software consistently.
This article discusses what clean code is and why it's essential and provides principles and best practices for writing clean and maintainable code.
What Is Clean Code?
Clean code is a term used to refer to code that is easy to read, understand, and maintain. It was made popular by Robert Cecil Martin, also known as Uncle Bob, who wrote "Clean Code: A Handbook of Agile Software Craftsmanship" in 2008. In this book, he presented a set of principles and best practices for writing clean code, such as using meaningful names, short functions, clear comments, and consistent formatting.
Ultimately, the goal of clean code is to create software that is not only functional but also readable, maintainable, and efficient throughout its lifecycle.
Why Is Clean Code Important?
When teams adhere to clean code principles, the code base is easier to read and navigate, which makes it faster for developers to get up to speed and start contributing. Here are some reasons why clean code is essential.
Readability and maintenance: Clean code prioritizes clarity, which makes reading, understanding, and modifying code easier. Writing readable code reduces the time required to grasp the code's functionality, leading to faster development times.

Team collaboration: Clear and consistent code facilitates communication and cooperation among team members. By adhering to established coding standards and writing readable code, developers easily understand each other's work and collaborate more effectively.

Debugging and issue resolution: Clean code is designed with clarity and simplicity, making it easier to locate and understand specific sections of the codebase. Clear structure, meaningful variable names, and well-defined functions make it easier to identify and resolve issues.

Improved quality and reliability: Clean code prioritizes following established coding standards and writing well-structured code. This reduces the risk of introducing errors, leading to higher-quality and more reliable software down the line.
Now that we understand why clean code is essential, let's delve into some best practices and principles to help you write clean code.
Principles of Clean Code
Like a beautiful painting needs the right foundation and brushstrokes, well-crafted code requires adherence to specific principles. These principles help developers write code that is clear, concise, and, ultimately, a joy to work with.
Let's dive in.
1. Avoid Hard-Coded Numbers
Use named constants instead of hard-coded values. Write constants with meaningful names that convey their purpose. This improves clarity and makes it easier to modify the code.
Example:
The example below uses the hard-coded number 0.1 to represent a 10% discount. This makes it difficult to understand the meaning of the number (without a comment) and adjust the discount rate if needed in other parts of the function.
Before:
def calculate_discount(price):
  discount = price * 0.1 # 10% discount
  return price - discount
The improved code replaces the hard-coded number with a named constant TEN_PERCENT_DISCOUNT. The name instantly conveys the meaning of the value, making the code more self-documenting.
After :
def calculate_discount(price):
TEN_PERCENT_DISCOUNT = 0.1
discount = price * TEN_PERCENT_DISCOUNT
return price - discount
Also, If the discount rate needs to be changed, it only requires modifying the constant declaration, not searching for multiple instances of the hard-coded number.
2. Use Meaningful and Descriptive Names
Choose names for variables, functions, and classes that reflect their purpose and behavior. This makes the code self-documenting and easier to understand without extensive comments.
As Robert Martin puts it, “A name should tell you why it exists, what it does, and how it is used. If a name requires a comment, then the name does not reveal its intent.”
Example:
If we take the code from the previous example, it uses generic names like "price" and "discount," which leaves their purpose ambiguous. Names like "price" and "discount" could be interpreted differently without context.
Before:
def calculate_discount(price):
TEN_PERCENT_DISCOUNT = 0.1
discount = price * TEN_PERCENT_DISCOUNT
return price - discount
Instead, you can declare the variables to be more descriptive.
After:
def calculate_discount(product_price):
  TEN_PERCENT_DISCOUNT = 0.1
  discount_amount = product_price * TEN_PERCENT_DISCOUNT
  return product_price - discount_amount
This improved code uses specific names like "product_price" and "discount_amount," providing a clearer understanding of what the variables represent and how we use them.
3. Use Comments Sparingly, and When You Do, Make Them Meaningful
You don't need to comment on obvious things. Excessive or unclear comments can clutter the codebase and become outdated, leading to confusion and a messy codebase.
Example:
Before:
def group_users_by_id(user_id):
  # This function groups users by id
  # ... complex logic ...
  # ... more code …
The comment about the function is redundant and adds no value. The function name already states that it groups users by id; there's no need for a comment stating the same.
Instead, use comments to convey the "why" behind specific actions or explain behaviors.
After:
def group_users_by_id(user_id):
  """Groups users by id to a specific category (1-9).

Warning: Certain characters might not be handled correctly.
Please refer to the documentation for supported formats.

Args:
user_id (str): The user id to be grouped.

Returns:
int: The category number (1-9) corresponding to the user id.

  Raises:
    ValueError: If the user id is invalid or unsupported.
  """
  # ... complex logic ...
  # ... more code …
This comment provides meaningful information about the function's behavior and explains unusual behavior and potential pitfalls.
4. Write Short Functions That Only Do One Thing
Follow the single responsibility principle (SRP), which means that a function should have one purpose and perform it effectively. Functions are more understandable, readable, and maintainable if they only have one job. It also makes testing them very easy.
If a function becomes too long or complex, consider breaking it into smaller, more manageable functions.
Example:
Before:
def process_data(data):
  # ... validate users...
  # ... calculate values ...
  # ... format output …
This function performs three tasks: validating users, calculating values, and formatting output. If any of these steps fail, the entire function fails, making debugging a complex issue. If we also need to change the logic of one of the tasks, we risk introducing unintended side effects in another task.
Instead, try to assign each task a function that does just one thing.
After:
def validate_user(data):
  # ... data validation logic ...
def calculate_values(data):
  # ... calculation logic based on validated data ...
def format_output(data):
  # ... format results for display …
The improved code separates the tasks into distinct functions. This results in more readable, maintainable, and testable code. Also, If a change needs to be made, it will be easier to identify and modify the specific function responsible for the desired functionality.
5. Follow the DRY (Don't Repeat Yourself) Principle and Avoid Duplicating Code or Logic
Avoid writing the same code more than once. Instead, reuse your code using functions, classes, modules, libraries, or other abstractions. This makes your code more efficient, consistent, and maintainable. It also reduces the risk of errors and bugs as you only need to modify your code in one place if you need to change or update it.
Example:
Before:
def calculate_book_price(quantity, price):
return quantity * price
def calculate_laptop_price(quantity, price):
return quantity * price
In the above example, both functions calculate the total price using the same formula. This violates the DRY principle.
We can fix this by defining a single calculate_product_price function that we use for books and laptops. This reduces code duplication and helps improve the maintenance of the codebase.
After:
def calculate_product_price(product_quantity, product_price):
return product_quantity * product_price
6. Follow Established Code-Writing Standards
Know your programming language's conventions in terms of spacing, comments, and naming. Most programming languages have community-accepted coding standards and style guides, for example, PEP 8 for Python and Google JavaScript Style Guide for JavaScript.
Here are some specific examples:
Java:
Use camelCase for variable, function, and class names.
Indent code with four spaces.
Put opening braces on the same line.
Python:
Use snake_case for variable, function, and class names.
Use spaces over tabs for indentation.
Put opening braces on the same line as the function or class declaration.
JavaScript:
Use camelCase for variable and function names.
Use snake_case for object properties.
Indent code with two spaces.
Put opening braces on the same line as the function or class declaration.
Also, consider extending some of these standards by creating internal coding rules for your organization. This can contain information on creating and naming folders or describing function names within your organization.
7. Encapsulate Nested Conditionals into Functions
One way to improve the readability and clarity of functions is to encapsulate nested if/else statements into other functions. Encapsulating such logic into a function with a descriptive name clarifies its purpose and simplifies code comprehension. In some cases, it also makes it easier to reuse, modify, and test the logic without affecting the rest of the function.
In the code sample below, the discount logic is nested within the calculate_product_discount function, making it difficult to understand at a glance.
Example:
Before:
def calculate_product_discount(product_price):
discount_amount = 0
if product_price > 100:
  discount_amount = product_price * 0.1
elif price > 50:
  discount_amount = product_price * 0.05
else:
  discount_amount = 0
final_product_price = product_price - discount_amount
return final_product_price
We can clean this code up by separating the nested if/else condition that calculates discount logic into another function called get_discount_rate and then calling the get_discount_rate in the calculate_product_discount function. This makes it easier to read at a glance.
The get_discount_rate is now isolated and can be reused by other functions in the codebase. It’s also easier to change, test, and debug it without affecting the calculate_discount function.
After:
def calculate_discount(product_price):
discount_rate = get_discount_rate(product_price)
discount_amount = product_price * discount_rate
final_product_price = product_price - discount_amount
  return final_product_price

def get_discount_rate(product_price):
if product_price > 100:
  return 0.1
elif product_price > 50:
  return 0.05
else:
  return 0
8. Refactor Continuously
Regularly review and refactor your code to improve its structure, readability, and maintainability. Consider the readability of your code for the next person who will work on it, and always leave the codebase cleaner than you found it.
9. Use Version Control
Version control systems meticulously track every change made to your codebase, enabling you to understand the evolution of your code and revert to previous versions if needed. This creates a safety net for code refactoring and prevents accidental deletions or overwrites.
Use version control systems like GitHub, GitLab, and Bitbucket to track changes to your codebase and collaborate effectively with others.

stack:

GitHub

GitLab

Bitbucket

GitHub .cursorrules prompt file instructions

Jeremy Russell

Coding Standards .cursorrules strategies

TypeScript axios .cursorrules prompt file

TypeScript axios .cursorrules prompt file

TypeScript LLM Tech Stack .cursorrules prompt file

TypeScript LLM Tech Stack .cursorrules prompt file

Angular Novo Elements .cursorrules prompt file

Angular Novo Elements .cursorrules prompt file

GitHub .cursorrules prompt file instructions

GitHub .cursorrules prompt file instructions

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