How fast do programmers code

In the post, he wrote how programmers must become fast typists if they wanted to excel at their craft and how those who typed in a hunt and peck fashion two-finger typing were not to be taken seriously. Instead, most agreed that programmers should focus on being able to type without having to think too hard , rather than trying to type at insane speeds. Alongside this, other flaws were pointed out, such as his claim that he could type at wpm equalling the current world record at the time.

Even today, the average typing speed is around 36 words per minute, with most professional typists sometimes reaching 75 or 80 and the best of the best, around 90 or more.

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Plain and simple. By doing so, your fingers might develop certain muscle memory although this phrase is somehow questionable , and you can type without looking at the keyboard. One more thing, besides speed, accuracy is also a criterion. So, be patient!

See also: Software Project Management Plan. Also, the keyboard is not the only thing you need to buy. Many people who have used it claimed its effectiveness in helping you typing faster and mitigating fatigue.

It is also considered as a solution to the risks of carpal tunnel. You might want to try it, then. This is vital in that it does not only makes you feel more comfortable during long hours sitting in the working desk but also prevents you from scoliosis and other spine-related injuries.

Check out this video:. That must be an interesting and especially relevant game to play among a big group of programmers. Thank you for sharing your ideas. We will contact you to consult the process and price as soon as posible.

To be a programmer, you should be able to type without having to think too hard. This is when typing actually matters to being a programmer. Typing fast is not important in and of itself: you want to be able to type without interrupting your train of thought. You should do everything you can to make thinking easier. Towards that end, being able to type fast is an advantage, albeit a small one. In addition:. We spend a lot of time in processes of our own construction; don't be afraid to change them.

Learning is a life-long process for programmers, but we warned: The internet is full of shiny things. Quality covers a lot of ground, from the readability of the code to its modular structure and complexity, to how well it expresses its domain intentions.

I didn't find a lot of tips about people skills, but people are pretty much unavoidable; those I did find were quite helpful. So that's it, my summary of the best advice out there for programming faster.

Follow these tips and you'll be well on your way to improving your programming skills—and coding faster. Don't see your favorite pearls of wisdom above? Add yours to the list by posting it in the comments section below.

Take a deep dive into the state of quality with TechBeacon's Guide. Plus: Download the free World Quality Report Put performance engineering into practice with these top 10 performance engineering techniques that work. Discover best practices for reducing software defects with TechBeacon's Guide. Skip to main content. Our Contributors About Subscribe. Go with the flow. Steven A. Lowe Product Technology Manager, Google.

The problem with "tips" Most of the tips I read only apply at certain points along my journey, and don't necessarily apply to everyone. What you want is flow What every programmer wants, especially in the era of DevOps, is flow.

Your options may be limited When you find something sub-optimal about your process, or yourself, the choices of how to address such constraints are limited: Ignore it. Maybe it will get better on its own. Avoid it.

Is it really necessary? Automate it. Make the machine do it. Delegate it. Rarely possible, this is passing the buck. But it is a legit option when available.

Grind it down. We all have to do this from time to time daily. Some jobs are larger than others. Top tips for programming faster One way of grouping and looking at the tips below is by applying a few high-level categories as a way to draw interesting generalizations from the collection: Reflect.

What do you want, what do you actually do; includes measuring and optimization. No friction from tools, processes, environment, or knowledge; seek continual challenge but not too much. The fundamentals: languages, tools, patterns, practices, etc. Teach others. Having to explain things forces simplification, and the transformation from thoughts to verbal or visual expressions produces insights.