Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Wrong abstractions
If you find yourself passing parameters and adding conditional paths through shared code, the abstraction is wrong. It's no longer right for the codebase.
Wrong abstractions are no longer common abstractions; they are series of conditions mixed with vaguely related ideas. This makes them:
- hard to understand,
- easy to break, and
- hard to modify to implement new features.
2
22 reads
MORE IDEAS ON THIS
The right way to abstract
Start by implementing the problem in the concrete, not in the abstract. Don't try to guess what interfaces you will need. Discover them.
Only after implementing the problem in the concrete, go on to decoupling. Ask yourself: "What do I need to decouple to make it better, to...
2
17 reads
DRY is not a silver bullet
"Don’t repeat yourself" (DRY) is usually good advice, but you have to get the abstractions right. Otherwise they quickly become unmaintainable.
Here's how it usually plays out:
- You write a cool abstraction
- Time passes
2
43 reads
Fix wrong abstractions
In the long run, it's better to fix wrong abstractions ASAP than to add more code and make everything more complicated.
Your goal is to remove the abstraction and conditionals, and to reduce each caller to only the code it needs. Here's how:
2
17 reads
CURATED FROM
CURATED BY
Alt account of @ocp. I use it to stash ideas about software engineering
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving & library
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Personalized recommendations
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates