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Mission control for AI engineering.Mission control for AI engineering.

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

Works with
ClaudeCodexGeminiKimiGLMMeta Muse

Track AI adoption and team performance.

  • Track adoption by developer and team.
  • Inspect sessions, shipped work, and skills shared by developers.
  • Compare activity and delivery trends to see where support helps.
Codiedev Team view showing connected developers, activity, coaching signals, and the team roster.
Codiedev model analytics showing spend, cost per merge, and usage across models.

Track AI spend across models and workflows.

  • See model usage from existing coding agents.
  • Set budgets by model, team, or developer for Codiedev’s harness and API.
  • Connect Codiedev spend to shipped work, including cost per merge.

Manage access to approved AI models.

  • Set processing-region and data-retention requirements once.
  • Qualified open and closed models enter your company catalog automatically.
  • Developers opt in through the harness or API under one Codiedev agreement.
Codiedev model access and policy settings, with the model portfolio and company budget controls.
Codiedev coding session details connecting models, tokens, and cost to a merged pull request.

Connect AI coding sessions to shipped PRs.

  • Keep the coding agents your team already uses.
  • Capture agent sessions and link them to PRs through Git references.
  • See model use and spend behind shipped work.
Get started

See how your team’s AI coding adds up.

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