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AI-Native SDLC for Web Development: A Step-by-Step Guide with Claude Code

In my previous post I summarized Anthropic's AI-Native SDLC Playbook , which explains how to redesign the software lifecycle once AI agents can write code faster than your process can absorb it. This post is the practical follow-up: how to actually apply it to a web development project, step by step , with files you can copy into your own repo. Throughout this post I'll use one running example: a Next.js + TypeScript e-commerce app that needs a new "Wishlist" feature. The same steps work for React + Node, Vue, Laravel, Django, or any other web stack. Only the commands change. The workflow at a glance Each stage ends by committing a file, and the next stage starts by reading it: Plan → docs/intent/wishlist.md (what and why) Design → docs/specs/wishlist.md (how) Build → code + tests (guided by CLAUDE.md and Skills) Test → passing tests + CI evals Deploy → PR with AI review findings → human approval → CI/CD Maintain...
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Python

python 3 cheat sheet


1. Variables & Data Types


x = 10  # Integer
y = 3.14  # Float
name = "Alice"  # String
is_active = True  # Boolean
fruits = ["apple", "banana", "cherry"]  # List
person = {"name": "John", "age": 25}  # Dictionary

2. Basic Operations


sum = 5 + 3  # Addition
diff = 10 - 4  # Subtraction
prod = 6 * 7  # Multiplication
quot = 10 / 3  # Division
mod = 10 % 3  # Modulus
power = 2 ** 3  # Exponentiation

3. Conditional Statements


x = 10
if x > 5:
    print("x is greater than 5")
elif x == 5:
    print("x is 5")
else:
    print("x is less than 5")

4. Loops


# For Loop
for i in range(5):
    print(i)  # 0, 1, 2, 3, 4

# While Loop
x = 5
while x > 0:
    print(x)
    x -= 1

5. Functions


def greet(name):
    return f"Hello, {name}!"

print(greet("Alice"))  # Output: Hello, Alice!

6. Lists & List Comprehension


numbers = [1, 2, 3, 4, 5]
squared = [x ** 2 for x in numbers]  # [1, 4, 9, 16, 25]

7. Dictionary


person = {"name": "Alice", "age": 30}
print(person["name"])  # Output: Alice
person["age"] = 31

8. Exception Handling


try:
    result = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero!")
finally:
    print("Done")

9. Classes & Objects


class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def greet(self):
        return f"Hi, I'm {self.name}"

p = Person("Alice", 30)
print(p.greet())  # Output: Hi, I'm Alice

10. File Handling


# Write to a file
with open("file.txt", "w") as f:
    f.write("Hello, world!")

# Read from a file
with open("file.txt", "r") as f:
    print(f.read())

11. Lambda Functions


square = lambda x: x ** 2
print(square(5))  # Output: 25

12. Importing Modules


import math
print(math.sqrt(16))  # Output: 4.0
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