Question 1

Does This Mean I Shouldn't Use AI Coding Assistants?

Accepted Answer

No. AI coding assistants are powerful tools that accelerate development. The issue isn't AI-generated code itself — it's trusting AI-generated code without the same scrutiny you'd apply to a human pull request.

You wouldn't merge a colleague's PR without reviewing the dependency changes. Apply the same standard to AI suggestions. The 4-step checklist above takes minutes per dependency and prevents the categories of supply chain risk that AI tools uniquely introduce.

Question 2

Which AI Tools Have the Worst Hallucination Rates?

Accepted Answer

Hallucination rates vary by model, training data recency, and the ecosystem being targeted. Sonatype's research found that the 27.8% hallucination rate applies across major AI tools, with some variation by programming language. Python and JavaScript ecosystems see the highest rates because they have the largest package registries and the most namespace collisions.

Rather than ranking tools, the practical takeaway is: always verify, regardless of which AI you use. Models improve with each release, but no model has access to live registry data during code generation.

Question 3

Can GeekWala Detect Phantom Packages?

Accepted Answer

GeekWala validates every package against real registry data. When you submit a dependency list, packages that can't be resolved against the registry are flagged — they either don't exist or the version doesn't exist. Combined with EPSS exploitation probability and CISA KEV active exploitation status, you get a complete picture: does this package exist, is it vulnerable, and is anyone actually exploiting those vulnerabilities?

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