Modern AI tools can generate Python code at an impressive speed. Scaffolding APIs, generating test suites, building CLI tools or spinning up entire modules - a well-written prompt can produce all of them in seconds or minutes. At first glance, that makes VS Code snippets feel almost obsolete.
In practice, they solve a completely different problem.
Most experienced Python developers spend a large part of their day handling small, repetitive implementation tasks. Things like setting up a logger, creating a dataclass, writing a context manager, adding a typed function definition or scaffolding a test case are not difficult problems. They are familiar patterns. Opening an AI assistant for every one of those tasks quickly becomes inefficient.
The issue is not generation speed. The issue is interruption.
Using AI for tiny recurring tasks often forces you out of your editor and into a mini feedback loop: describe the problem, wait for the response, inspect the code, adjust formatting and align everything with your project standards, maybe re-prompt to iterate on the solution provided by AI. Even when this process only takes a few minutes, it repeatedly breaks concentration throughout the day. That loss of focus adds up.
Snippets keep you inside the editor and inside the problem you are solving. Instead of starting a conversation with an AI assistant, you trigger a pattern you already know you need. AI tools are extremely useful when you need:
Snippets shine when you need:
The biggest advantage of snippets is predictability. They do exactly what you expect every single time - no need for reviewing generated output for subtle or inconsistencies. Just trigger, expand and continue coding.
In this article, I’ll show you 10 VS Code snippets that can noticeably improve the daily workflow of almost every Python developer. You can download all of them for free from my GitHub repository.
Snippet is called dconc3
(abbreviation for: D efine CON structor with 3 arguments and C heck types) and allows you to create a full class constructor definition which before assigning the variables to the class private members (called in the same fashion as the constructor input arguments), checks if their actual types match the type annotations.
Snippet is called pma2
(abbreviation for: P ython MA tch with 2 cases) and allows you to generate a match
statement with 2 case
s and the default.
Snippet is called pife
(abbreviation for: P ython IF E lse) and allows to ti insert standard if/else
statement in which the cursor jumps: condition ---- if body ---- else body.
Snippet is called pford
(abbreviation for: P ython FOR item in D ictionary) and allows you to generate a for loop over dictionary items with the predefined variables names (which you can change while jumping over them).
Snippet is called pforen
(abbreviation for: P ython FOR EN umerate) and allows you to create a for loop which enumerates the items in the give container.
Snippet is called lognew
(abbreviation for: LOG ging create NEW logger) and allows you to insert a new logger instance together with its context name.
Snippet is called ddc
(abbreviation for: D efine D ataC lass) and allows you to generate a new dataclass
together with its mandatory import.
Snippet is called fim
(abbreviation for: F rom x IM port y) and allows you to import any type from the given standard or custom path.
Snippet is called pdci
(abbreviation for: P ython D ictionary C omprehension I f) and allows you to create a conditional dictionary comprehension.
Snippet is called pifii
(abbreviation for: P ython IF I s I nStance) and lets you insert an if
statement checking for the object's type using isinstance
.