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A data-grounded look at how these two coding & development tools stack up — to help you pick the right coding & development tool in 2026.
Quick verdict
Baz takes a 0.2-point lead on our Editor Score. Pick Baz if you want specialized review agents on every pull request; choose Sourcegraph Cody for codebase context. On pricing, both ship a free or freemium tier, so you can try each before paying.
| Rating | 4.6 / 5 | 4.4 / 5 |
| Pricing | Freemium | Freemium |
| Free tier | ||
| Best for | specialized review agents on every pull request | codebase context |
AInexfinder Editor Score — our editorial rating from features, value and pricing, blended with verified user reviews where a tool has them.
AI agents that review code and operate codebases
AI coding assistant with codebase context
Choose Baz if…
Choose Sourcegraph Cody if…
It comes down to fit, not a single winner: Baz leans into specialized review agents on every pull request, while Sourcegraph Cody is built for codebase context. Baz edges the Editor Score (4.6 vs 4.4), but a 0.2-point gap rarely outweighs picking the tool whose features match your work. Both have a free or freemium tier, so spin up each and keep the one that clicks.
Baz has the higher AInexfinder Editor Score (our editorial rating from features, value and pricing, blended with verified user reviews where a tool has them), but "better" depends on your needs — compare features, pricing and the pros & cons above to decide.
Baz (freemium) is best for specialized review agents on every pull request, while Sourcegraph Cody (freemium) is best for codebase context. See the full feature and pricing comparison above.
Both have paid plans — pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.
Baz is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
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Last updated June 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.