In the age of advanced debugging tools, logging frameworks, and integrated performance monitors, it’s easy to dismiss print() (or console.log() in JavaScript) as outdated or “junior-level” debugging. But is it really fair? Sometimes, the simplest tool can still be the most practical. Let’s explore scenarios where print() still shines, why experienced developers keep it in their toolkit, and how you can use it effectively.
1. When Time is Critical: Quick and Dirty Debugging
Sometimes, a bug appears at the worst possible moment—like during a live demo or when you’re rushing to meet a deadline. In these cases, print() can save the day.
Real-Life Example:
In 2018, during an AWS outage, engineers scrambled to debug critical services under pressure. Rather than configuring advanced monitoring, they relied on basic logging (print()) to identify and resolve the issue quickly.
Why It Works:
- Instant visibility of variable states.
- No setup or configuration overhead.
Example (Python):
def divide(a, b):
print(f"Dividing {a} by {b}")
return a / b
divide(10, 0) # Quick visibility before it breaks
When something goes wrong, you immediately know where the issue lies.
2. When Debugging Local Development Issues
For solo developers or small projects, setting up a full-fledged debugger may feel like overkill. A well-placed print() statement can sometimes be faster and more straightforward.
Example (JavaScript):
function fetchData(url) {
console.log('Fetching data from:', url);
return fetch(url).then(response => response.json());
}
fetchData('https://api.example.com/users');
Here, console.log() gives you a quick check to ensure the function behaves as expected without opening DevTools.
3. Debugging in Environments Without Debuggers
Not all environments have the luxury of modern debugging tools. Think embedded systems, lightweight IoT devices, or cloud functions where traditional debugging isn’t an option.
Real-Life Example:
Engineers working on Raspberry Pi and other embedded systems often use print() to debug hardware-related issues. Since there’s no GUI debugger, print() outputs to a serial console.
Example (C++ for Embedded Systems):
int sensorValue = readSensor();
Serial.print("Sensor Value: ");
Serial.println(sensorValue);
In constrained environments, print() is often the only option.
4. Teaching and Learning Code Behavior
For beginners or when teaching programming concepts, print() is the simplest way to observe what’s happening in the code.
Why It Matters:
- Helps newcomers visualize how variables and loops work.
- Keeps the focus on logic instead of debugging tool complexity.
Example (Python):
for i in range(5):
print(f"Iteration {i}: Value = {i*2}")
Even seasoned developers use print() when trying to quickly test snippets of code.
5. Logging in Small Scripts or Utilities
If you’re writing a one-off script or automating tasks, setting up a structured logging framework may be unnecessary. print() provides lightweight, immediate logging.
Real-Life Use Case:
DevOps engineers often write small Bash or Python scripts to automate tasks. Adding simple print() statements ensures everything runs smoothly.
Example (Bash Script):
#!/bin/bash echo "Starting backup process..." cp /source /destination echo "Backup completed successfully!"
No frills. No hassle. Just clarity.
6. Complementing Advanced Tools
Even with modern debugging tools, sometimes print() provides context that debuggers miss. For example, when dealing with async code or multi-threaded systems.
Example (Node.js):
async function processUsers() {
console.log('Start processing users');
const users = await fetchUsers();
console.log('Users fetched:', users.length);
}
console.log() gives a high-level flow of execution, which can complement detailed breakpoints or structured logs.
7. Making print() Smarter
If you’re going to use print() or console.log(), make the most of it:
- Add context: Always include variable names or descriptions.
print(f"User count: {len(users)}")
2. Use conditional logging: Only print when needed.
DEBUG = True
if DEBUG:
print("Debugging mode is on")
3. Format for clarity: Use libraries like pprint in Python to display complex objects.
from pprint import pprint pprint(data_structure)
8. The Bottom Line: Simplicity Has Value
While advanced tools like debuggers and APMs are invaluable, print() still holds its place. It’s fast, accessible, and works everywhere. Senior developers know that the best tools are those that fit the job at hand. Whether it’s a small script, a constrained environment, or an urgent issue, don’t be afraid to reach for print()—just use it wisely.
Key Takeaway:
The debate isn’t about choosing print() or modern tools—it’s about using the right tool for the right job.
So next time you’re tempted to overcomplicate debugging, remember: Sometimes, the simplest tool is still the best.
