Practice makes coding usable
This blog post is based on my book How to Code Any Feature. Reading about a technique is different from implementing it, debugging it, and comparing it with another approach. Regular practice makes those gaps visible.
Why practice matters
Regular practice can help you:
- solve unfamiliar problems more systematically;
- recognize patterns and turn them into algorithms;
- connect theoretical knowledge with working code;
- write more clearly when time is limited; and
- adapt when a problem does not match the examples you have seen.
Timed exercises can help with speed, but speed is not the same as good production code. Review and reflection matter too.
A workable way to practice
A useful routine is simple: practice consistently, start with manageable problems, understand the problem before coding, vary the kinds of problems you attempt, review your solution and alternatives, and seek feedback from other programmers when possible. Starting with simpler problems does not mean staying there. Increase the difficulty when you can explain the current solution and its tradeoffs.
Learn from each attempt
Each practice problem should leave you with more than an accepted answer. Outline the logic, think through the data structures and algorithms involved, and look at the efficiency of the result. After trying a solution, compare it with other approaches and note what you would change next time.
Practice exercise
Choose one problem from a domain you’re unfamiliar with:
- Data Structures: Implement a balanced binary search tree.
- Algorithms: Design an algorithm for finding the longest common subsequence of two strings.
- Web Development: Create a basic RESTful API for a todo list application.
- Machine Learning: Implement a simple linear regression model from scratch.
For your chosen problem:
- Outline the logic and approach you would take
- Sketch out the basic code structure
- Make notes on your thought process
- After attempting it, research other solutions and compare them
An “optimal” solution depends on the constraints, so compare the reasoning rather than copying code. Practice is useful when it produces feedback that changes how you approach the next problem.