Originality.ai vs Code-Aware AI Detector: Detecting AI in Technical Writing (2026)

AI detectors are trained on prose. Run a README with code blocks through one and it often mislabels the code as AI-generated — or flags the whole document as 100% AI because it can't tell code from prose.

Originality.ai is the most widely used commercial detector. Strong on essays. But developers face a different input shape.

Originality.ai vs a Code-Aware Detector

Tool	Code handling	Per-check cost	Best for
Lint AI Detector	✅ Code/commands forced 0% AI	$0.02 or BYOK free	Mixed code+prose docs
Originality.ai	❌ Treats code as text	~$0.01/credit	Essays, marketing
GPTZero	⚠️ Mixed on code	Free / $10/mo	Education
ZeroGPT	❌ Often flags code	Free / $10/mo	Quick checks

Why "Code Forced to 0%" Matters

In a README, this is normal:

def connect(host, port, timeout=None):
    return api_endpoint.edge_case_handler()

A generic detector may score that as AI-generated because the structure looks "too clean." A code-aware detector forces code and commands to 0% AI and only scores the surrounding prose.

What You Get With Lint

• Mixed-report mode: per-section human vs AI breakdown
• No false code flags
• BYOK free: unlimited checks for $0

Verdict

For student essays, Originality.ai is mature. For technical writing — docs, tutorials, dev blogs — a code-aware detector gives far fewer nonsense flags. Lint is built for that input.

👉 Try Lint AI Detector free: https://tools.aicreditsapi.com/tools/ai-detector