Code Intelligence Hub

General 9 min

Alex Petrov · 2 weeks ago

How Automatic Grading Evolved From Scripts to Integrity Pipelines

A retrospective on automatic grading in computer science education—from shell scripts comparing output strings to modern platforms combining unit tests, static analysis, and code similarity detection. What we gained, what we lost, and why integrity pipelines matter more than ever.

Read →

General 10 min

Alex Petrov · 2 weeks ago

Building a Source Code Provenance Pipeline for Contractor Deliverables

When contractors deliver source code, verifying originality and license compliance is critical. This guide walks through building an automated provenance pipeline that checks for code similarity, license violations, and proper attribution before accepting deliverables into your codebase.

Read →

General 9 min

David Kim · 2 weeks ago

What Code Similarity Metrics Actually Measure in Student Work

Not all code similarity is plagiarism, and not all plagiarism is caught by string matching. This article breaks down the three major detection techniques—AST comparison, token-based analysis, and algorithmic fingerprinting—and explains what each one actually reveals about student submissions.

Read →

General 12 min

Alex Petrov · 3 weeks ago

How to Build a Source Code Similarity Pipeline for Detection

A step-by-step guide to building a source code similarity detection pipeline from scratch. Covers tokenization, AST comparison, Winnowing fingerprinting, and heuristic scoring. Includes working Python code and configuration strategies used by universities and enterprises.

Read →

General 8 min

Marcus Rodriguez · 3 weeks ago

What Pair Programming Looks Like in a Plagiarism Detector

Pair programming and plagiarism can look identical to automated detectors. This article explains the technical signals that distinguish collaborative work from unauthorized code sharing, and how educators can design assignments and detection workflows that respect both academic integrity and modern development practices.

Read →

General 10 min

David Kim · 3 weeks ago

Teaching Students to Write Attribution Comments in Group Work

Attribution comments are a simple but powerful tool for teaching code integrity in collaborative programming projects. This article explains how to implement them effectively, what to include, and how they transform group work from a plagiarism minefield into a learning opportunity.

Read →

General 9 min

Rachel Foster · 4 weeks ago

From Paper Traces to Abstract Syntax Trees: Code Similarity Then and Now

The history of code similarity detection is a story of escalating arms races. What started with professors reading printouts has evolved through Unix diffs, token-based fingerprinting, and into modern abstract syntax tree analysis. This retrospective traces the key technical shifts that shaped how we detect code plagiarism in programming courses today.

Read →

General 8 min

James Okafor · 1 month ago

Can Dev Teams Trust Code Similarity for IP Theft Detection

Code similarity analysis has long been a staple of academic integrity enforcement, but enterprises face a harder problem: detecting IP theft, insider leaks, and unlicensed reuse in complex, multi-repo codebases. This post examines the practical limitations and proper applications of similarity detection for proprietary software, from AST comparison to dependency graph analysis.

Read →

General 9 min

Rachel Foster · 1 month ago

What Code Complexity Metrics Miss About Real Maintainability

Cyclomatic complexity, lines of code, and other traditional metrics have been the gold standard for decades — but they systematically miss the factors that actually make code hard to maintain. Here is what experienced teams have learned about measuring what matters.

Read →

General 11 min

Priya Sharma · 1 month ago

A Checklist for Integrating Code Scanning Into Your CI Pipeline

Manual code review alone can't catch every bug or security vulnerability. This practical guide walks you through building a robust code scanning pipeline that integrates directly into your CI/CD workflow, covering static analysis, dependency scanning, secret detection, and policy enforcement with concrete tool configurations and real-world examples.

Read →

General 7 min

Dr. Sarah Chen · 1 month ago

The Open Source Audit That Nearly Bankrupted a Startup

When a promising fintech startup, Veritas Ledger, sought Series B funding, a standard due diligence audit spiraled into a crisis. Their core transaction engine, the product of a brilliant but rogue founding engineer, was built on stolen, copyleft-licensed code. The discovery didn't just delay the funding round; it put the company's very existence on the line. This is the story of how hidden code provenance almost destroyed a business.

Read →

General 8 min

Priya Sharma · 1 month ago

Your AI Detection Tool Is Probably a Random Number Generator

The market is flooded with tools claiming to spot AI-written code with 99% accuracy. Most are built on statistical sand. We dissect the eight fundamental flaws, from dataset contamination to meaningless confidence scores, that render their outputs little better than a coin flip for serious applications.

Read →