Software Architecture Documentation

Software Architecture Documentation

Software documentation is all about sharing the story behind your software. It explains how things work, how to use the software, and even gives some insight into how it was built. After all, the code itself often leaves out the "why"—like why certain decisions were made or what the overall goals are.

Think of it as a guide that helps everyone involved—developers, testers, business folks—get on the same page. Often, technical writers team up with experts to create user guides, manuals, and other helpful materials that make understanding the software a breeze.

When you're putting together documentation, clarity is key. Keeping your sentences short and simple makes it easier for anyone to follow along. There are different kinds of documents out there, from requirements and design specs to user manuals and troubleshooting guides.

For those dealing with software architecture, frameworks like arc42 can help organise the information. And if you're into visual aids, the C4 model is a neat way to use different levels of diagrams to show the system, its parts, and how they connect.

One of the coolest modern approaches is called "Documentation as Code." This means treating your documentation like you would your code—storing it in a version control system, automating builds, and even publishing it automatically. Tools like AsciiDoc and Asciidoctor make it easy to write and convert your docs into various formats. And for diagrams, using tools like PlantUML and Structurizr lets you generate visual representations right from your code.

Refs:

• The Ultimate Guide To Software Architecture Documentation

• Why arc42

• C4 model

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💡 Stay Interview-Ready: Weekly Code Challenge 🚀

Write a function that takes an array of integers and returns the length of the longest sequence of consecutive numbers.

Your algorithm must have a time complexity of O(n).

1. Example 1:

   • Input: nums = [100, 4, 200, 1, 3, 2]

   • Output: 4 (The longest consecutive sequence is [1, 2, 3, 4], which has 4 numbers.)

2. Example 2:

   • Input: nums = [0, 3, 7, 2, 5, 8, 4, 6, 0, 1]

   • Output: 9

3. Example 3:

   • Input: nums = [1, 0, 1, 2]

   • Output: 3

Constraints:

• The number of elements in nums is between 0 and 10^5.

• Each element in nums is between -10^9 and 10^9.

1. 🚀 Collection of insane and fun facts about SQLite — SQLite is so fast, they compete with fopen. For some use cases, you can use SQLite instead of a filesystem, that can be 35% faster.

2. 🪝 Change Data Capture — Change Data Capture (CDC) solves a common problem: keeping different systems in sync with your database. Think search indexes, caches, or data warehouses. Instead of your application updating multiple places, CDC watches database changes and shares them automatically.

✅ Stay Interview-Ready: Solution 

def longestConsecutive(nums):
    num_set = set(nums)  # Step 1: Create a set of numbers.
    longest = 0         # This will store the longest sequence length.
    
    # Step 2: Go through each number in the set.
    for num in num_set:
        # Check if it is the start of a sequence.
        if num - 1 not in num_set:
            current = num
            streak = 1
            
            # Step 3: Count the sequence length.
            while current + 1 in num_set:
                current += 1
                streak += 1
                
            # Update the longest sequence length.
            longest = max(longest, streak)
    
    return longest

# Example test cases:
print(longestConsecutive([100, 4, 200, 1, 3, 2]))      
# Output: 4
print(longestConsecutive([0, 3, 7, 2, 5, 8, 4, 6, 0, 1]))  
# Output: 9
print(longestConsecutive([1, 0, 1, 2]))                 
# Output: 3