Golang Interview Tasks Course

You write Go at work, yet in an interview someone asks you to reverse a linked list or find two numbers with a given sum. Your hands remember the syntax, and your head freezes under the timer. The bot "Golang Interview Tasks" offers a course on algorithms and problem solving specifically in Go. 🐹

Here is who it is for, what to practise and how not to waste your time.

Who this course fits

The author says the course suits beginners as well as more experienced developers who want to sharpen their work with algorithms. That makes the entry level flexible.

• Newcomers to Go. Learn the language on small but meaningful tasks.
• Developers from another language. Get used to slices, maps and the way Go handles errors.
• Experienced developers. Refresh algorithms before changing jobs.

What Go interviews usually ask

The algorithm round rarely stands alone. Questions about the language surround it, and a good answer shows you understand how Go works under the hood.

• Slices and arrays. Length versus capacity and what append does.
• Maps. Zero values, iteration order, safety under concurrent writes.
• Goroutines and channels. Leaks, closing a channel, select.
• Interfaces. Why an interface holding a nil value is not always equal to nil.
• Defer and errors. The order in which deferred calls run.

How to work through it

The bot has no commands and opens as an ordinary chat. After that, a general training routine works on any platform.

1. Read the statement and restate the task in your own words.
2. Solve it on paper or in an editor without hints, within a time limit.
3. Check edge cases: empty input, one element, duplicates.
4. Estimate time and memory complexity and say it out loud.
5. Only then compare your version with a reference solution.

Talk while you solve

An interviewer grades the reasoning as well as the answer. Explain your idea before you write code: a simple solution first, optimisation afterwards.

If you get stuck, do not go silent. Say what you are trying and where you doubt. That is often valued above a flawless but silent solution. 🗣

Avoiding burnout

One or two tasks a day beat five hours once a month. Algorithms stick through repetition, not a sprint.

• Topics in rotation. Arrays, strings, hash tables, trees, graphs, sorting.
• A mistake log. Write down where you stumbled and return a few days later.
• Mock interviews. Solve aloud with a friend or colleague.

Before an interview, read the job post: if the company builds high-load services, expect more questions on concurrency than on trees. 💼