Software engineering is not just about writing code—it is also about collaborating with people and systems. In practice, every developer eventually relies on someone else’s knowledge: a teammate, a maintainer, documentation, or a community like Stack Overflow. Eric S. Raymond’s essay, How To Ask Questions The Smart Way, makes a blunt but valuable point: the quality of answers you receive often depends on the quality of the question you ask.
Raymond emphasizes that good questions respect the reader’s time. They show effort (searching, testing, narrowing down), present clear evidence (errors, steps, environment), and ask for something specific. Poor questions do the opposite: they force others to guess, extract missing details, or do the work the asker should have done first. Reference: https://www.catb.org/~esr/faqs/smart-questions.html
In this essay, I analyze two Stack Overflow questions—one that follows “smart question” principles and one that violates them—to illustrate how question quality affects the efficiency and effectiveness of community support.
Stack Overflow link: https://stackoverflow.com/questions/72030290/cant-use-starred-expression-here
In this question, a Python learner wants to “return two things” from a function without explicitly indexing into a list. The asker provides a short function:
sorted((str1, str2)) and try to unpack it directly in the return statement using *.SyntaxError: can't use starred expression here
They also show a runnable example with a main block that prints the result. In other words, the question contains a minimal reproducible example: it’s short, complete, and produces the same error every time.
This question works well because it follows several of Raymond’s key guidelines:
The response is efficient and effective:
return a, b is returning one value (a tuple), not “two separate returns.”Because the question is tightly scoped and reproducible, the discussion stays focused on the real concept: what “returning multiple values” means in Python syntax and semantics. There is very little wasted effort.
Stack Overflow link: https://stackoverflow.com/questions/8781083/email-contact-form
This question is about a PHP email/contact form. The asker says they have “tried and tried” to submit an uploaded file, but it is “either too hard, or will not work.” They ask multiple things at once, including:
$_POST['first_name'] is where they put an input name,The post includes a large block of PHP code, but it does not clearly identify:
This question breaks several principles that Raymond warns about:
The result is not very efficient:
In short: because the question is not tightly defined, the community cannot reliably provide a tightly targeted solution.
Comparing these two questions made Raymond’s message feel practical instead of theoretical.
The “smart” question essentially says: “Here is the exact problem in a form you can verify.” That reduces effort for the helper and increases trust. The “not smart” question asks readers to become detectives.
Politeness helps, but it cannot substitute for clarity. The most helpful thing you can do for potential answerers is to provide:
Stack Overflow is not just a help desk—it is an archive. The Python question is easy for future readers to find, understand, and learn from because it is compact and specific. The PHP question is harder to reuse because it is unclear what the core issue was.
Raymond’s advice about avoiding urgency makes sense: urgency pressures volunteers without improving the technical description. A better approach is to narrow the question so the answer can be quick naturally.
Smart questions are important for smart software engineers because they scale learning and collaboration. They turn confusion into evidence, and evidence into answers. The difference between “getting help” and “wasting time” is often not intelligence—it is communication discipline.
Raymond’s guidelines are sometimes harsh in tone, but the practical takeaway is simple: if I want high-quality answers, I need to ask questions that deserve them—clear, reproducible, focused, and respectful of others’ time.
I used ChatGPT to help organize my essay structure and to improve clarity and flow. The selection of the examples, interpretation, and final writing decisions reflect my understanding and judgment.