Zest

A closer look at Zest

Zest is AI coding analytics for engineering teams: it shows which coding agents, models, and skills the team uses in Claude Code, Codex, Cursor, and Copilot, what they cost, and which sessions end in merged pull requests. A weekly email, shared skills, and workspace views turn that usage into team habits, such as planning before coding, one agent per worktree, and finding missing requirements early. Pricing is per workspace, starting free for 3 seats.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Zest

• Engineering teams that want visibility into AI coding usage, since Zest tracks which agents, models, and skills run in Claude Code, Codex, Cursor, and Copilot and which sessions end in merged pull requests.
• Teams that want per-workspace pricing with a free start, since the Starter plan is free for 3 seats with no credit card.

When to choose something else

• Buyers who want per-engineer pricing, since Zest prices per workspace, not per engineer, with extra seats at $19 a month.
• Buyers who want more than 3 free seats, since the Starter plan is free for 3 seats and larger teams need Pro or Max.

A practical starting workflow

1. Connect the team's coding agents and models so Zest can see which agents, models, and skills run each session.
2. Review what ships: which sessions end in merged pull requests, how much AI time runs, and where build, bug, and process hours go.
3. Share the best AI skills across the team, such as planning before coding and one agent per worktree.
4. Get the weekly email every Monday with the team's edge, and scale seats per workspace as the team grows.

Check before committing

• Amounts are shown with a $ sign but no named currency on the pricing page, so they are recorded as observations, not as currency-named facts.
• The site banner shows a 50% discount on Pro or Max for 6 months with a code applied; treat that as a promotion at the time of reading, not as the standing plan price.
• Demo setups use current model families and benchmark pairings; rankings measure performance, not popularity, as the homepage notes.

Common questions

Compare approaches for this task

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