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automated vs  manual security code reviews

Duel of the Decade: Automated vs. Manual Code Reviews

Diving into the epic battle between automated and manual security code reviews, uncovering which might win the code security crown!

Explore the differences between automated and manual security code reviews, including the pros, cons, and hilariously relatable real-world examples. This guide makes the complex world of coding simpler to understand, and even a bit fun!

Chapter 1: The Automated Army

Imagine you're building a sandcastle (that's your software) and you hire a robot (that's your automated code review tool). This robot scans the entire structure and tells you every spot where the sand is too loose or the walls might cave in. Automated tools like SonarQube or Checkmarx come into play here, swiftly scouring through miles of code to detect vulnerabilities like SQL injection or cross-site scripting. They don't sleep, don't drink coffee, and definitely don't complain about Mondays!

Chapter 2: The Manual Squad

Now, picture the wise old architect (this is your manual reviewer) who strolls around your sandcastle, occasionally adjusting their spectacles, and gives pointed advice on not just the strength of the walls but also the aesthetic appeal. This mentor catches the nuances that the robot can’t - like logic flaws or tricky backdoors left by sneaky developers. It’s slower, sure, but think of it as having a seasoned chef taste your dish to ensure the flavor is just right.

Chapter 3: Tale of the Tape

Let's break it down with a fun fact scenario. Automated tools can scan the entire Game of Thrones script in less than an hour for security flaws, flagging everything from vulnerable dragons to weak passwords in Winterfell. Manual reviews, alternatively, are like having George R.R. Martin himself going through each line, contemplating the fates and motives, potentially taking a few years per book but enriching the story depth immensely.

Battlefield Results

In practice, neither is perfect on its own. Automated tools might overlook deeper contextual bugs, thinking a giant wooden horse outside your castle gates is just a lovely gift (spoiler: it’s not). On the flip side, manual reviewers might miss that one rotten timber (read: tiny but critical code flaw) because, well, even the sharpest eyes can get clouded after staring at 10,000 lines of code.

Smartly Crafted by AI

The content of this article, including the eagle image representing AquilaX AI’s mascot, has been generated by AI model. Yet, what is AI if not an extension of human thought, encoded into algorithms and guided by our intent? This creation is not free from human influence—it is shaped by our data, our prompts, and our purpose.


While an AI model may have assembled these words, it did so under the direction of human minds striving for knowledge, objectivity, and progress. This article does not serve AquilaX’s interests but instead seeks to foster independent thought within the AppSec community. After all, machines may generate, but it is humanity that inspires.

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