Eight rituals to be a better programmer

Published on 28th Feb 2020

4 min read

Share this article on

"How to get better at programming?" is the question I had been asked quite a few times, and today I lay down the 8 rituals I have been following, and action items for each, to be good and get better at programming.

Code exhaustively

Doing something repeatedly always helps and writing a lot of code will develop our ability to

  • write code while we think
  • think faster, think better
  • foresee requirement changes and possible logic extensions

Action Items

  • One significant contribution to a project every two weeks
  • Solve at least two programming questions (from Codechef, Spoj or HackerRank) every week, till we solve at least 300 questions

Code consistently

If we don't do something repeatedly, it becomes extremely hard to get good at it. Writing code consistently helps us

  • define the programmatic and algorithmic flow quickly
  • build a habit of programming and thinking analytically

Action Items

  • make one small contribution to anyone project every three days

Once a while build a complex system

Solving programming questions is about developing logic but things become a little trickier when we build a complex system, as it requires us to take our programming skills to go up a notch. Some examples of complex systems are - a Library management system, a Twitter clone, an Instagram clone, etc. Building a complex system

  • widens our tech stack
  • makes us keep our code flexible, extensible and reusable
  • helps us understand how to split our code into independent segments that work in harmony

Action Items

  • build one complex system every 4 months

Once a while build something inspired by the real world

After we spend some time writing programs and solving problems, things become monotonous and do not seem to challenge us anymore, so to spice things up a bit we should model something from the real world, like

There are lots of libraries and framework like p5.js that makes visual programming simple.

Action Items

  • once every 6 months model a physical phenomenon

Read super exhaustively

It is not only writing code that improves our programming skills but it is reading some quality code written by expert programmers that make the difference. Reading code written by experts improve our programming vocabulary and by doing this we

  • learn the best programming practices
  • discover the new programming paradigms
  • find ways to properly structure our code for extensibility

The best way to start doing it is by picking up an open-source project and start skimming the code. It is okay to not understand it in the first go but it is important to skim it a few times and get acquainted. After a few skim, everything will fall in place, the code becomes familiar and we start to understand the flow and business logic.

Action Items

  • pick an open-source project every 6 months and skim its code once every two months
  • pick a tiny open-source utility, from an experienced developer, every month and skim it

Collaborate with a stranger

There is always someone sitting on the other side of the globe, who knows a thing or two more than us. Look for them and collaborate on a project. The developer community is filled with super smart and super enthusiastic developers who love to share and collaborate. Use websites like Dev.to, Hashnode and Twitter to find and interact with like-minded people.

Action Items

Fundamentals go a long way

A programming language is just a tool to express business logic. While learning a programming language we should try to understand the constructs and paradigms used - for example: Functional programming, Polymorphism, Event driven programming, Actor model, etc. It is important to do so because we could pick constructs from one language and use it in another to solve our problem. For example: picking Functional programming (Callbacks) from Javascript and using it in Python to create generic action functions.

Action Items

  • learn one design pattern every month and build a simulation around it
  • pick a language construct and implement it in some other language

We think before we code

Writing code before putting in some thought is degraded the code more often than not. The code written like this lacks simplicity, reusability, and extensibility. Spending some time thinking about problem statement or task at hand and having a rough execution plan always helps.

Action Items

  • always define the scope of implementation, create an execution plan and then code


These rituals have helped me get better at programming with time and in parallel, I pick at max 3 and act on the action items. Programming is simple but being better than most is difficult. Doing it consistently makes one get better by the day.

Arpit's Newsletter

500+ Signups

If you like what you read subscribe you can always subscribe to my newsletter and get the post delivered straight to your inbox. I write essays on various engineering topics and share it through my weekly newsletter 👇

Other articles that you might like

Phi φ Accrual Failure Detection

Phi φ Accrual Failure Detection

Phi φ Accrual Failure Detection algorithm, unlike conventional algorithms, is an adaptive failure de...

12th Jul
Copy-on-Write Semantics

Copy-on-Write Semantics

Copy-on-write is used to model Time Travel, build databases with no locks, and makes the fork system...

3rd May
Benchmark and compare the two approaches to paginate in MongoDB

Benchmark and compare the two approaches to paginate in MongoDB

Benchmark results for two pagination approaches for MongoDB....

2nd Jun
Bitcask - a log-structured fast KV store

Bitcask - a log-structured fast KV store

Bitcask is a Key-Value store that persists its data in append-only log files and still reaps super-p...

19th Jul