Compare AI tools
Side-by-side: what they do, what they cost, what Kai actually thinks. Pass up to 4 tools via
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GitHub Copilot B | Devin A | NotebookLM S | Perplexity S | |
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| Tagline | Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration. | Cognition Labs' autonomous coding engineer. | Google's research notebook. Turns your docs into a podcast. | AI search done right. Cited answers, not chat theater. |
| Category | coding | agents | research | research |
| Pricing | Free (limited) + $10/mo Pro + $19/mo Business | $500/mo | Free | Free + $20/mo Pro |
| Best for | Teams with GitHub already. Devs who don't want to change IDEs. | Engineering teams offloading tickets. Ops/platform work. | Students, researchers, anyone with a stack of PDFs or a topic to learn. | Replacing Google for any question where you want a cited answer in seconds. |
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| Kai's verdict | B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't. | A-tier for the right use case. Not for solo devs. If you manage engineers, try one license. | S-tier for study. The Audio Overview is a killer feature. Try it with three of your favorite PDFs. | S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week. |
| Link | Open → | Open → | Open → | Open → |