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Model Analytics Gateway for AI Engineering TeamsModel AnalyticsGateway for AIEngineering Teams

Track AI adoption, connect token spend to shipped code, and manage access to approved models—all in one place.

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Codiedev dashboard showing team activity, AI spend, coding-to-PR speed, and an action queue. — Actual product screens · Illustrative demo data

Track AI adoption and team performance.

See who’s using AI and what they’re shipping. Compare adoption and delivery times across teams, and find where developers need support.

Codiedev Team view showing connected developers, activity, coaching signals, and the team roster. — Actual product screens · Illustrative demo data

Codiedev model analytics showing spend, cost per merge, and usage across models. — Actual product screens · Illustrative demo data

Track AI spend across tools and models.

See what AI coding costs and how that spend connects to delivered work. Track budgets, compare model costs, and spot developers reaching their limits.

Manage access to approved AI models.

Set your processing-region and data-retention requirements. Give developers a choice of approved models, with usage tracking and cost controls built in.

Codiedev model access and policy settings, with the model portfolio and company budget controls. — Actual product screens · Illustrative demo data

Codiedev coding session details connecting models, tokens, and cost to a merged pull request. — Actual product screens · Illustrative demo data

Connect AI coding sessions to shipped PRs.

Codiedev captures activity in the terminal and links sessions to PRs using recorded Git references. Follow the models, tokens, and spend behind the work your team ships.

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See how your team’s AI coding adds up.

Explore adoption, cost, and model access in one walkthrough.