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Codiedev Reports

ChatGPT plugin

AI engineering metrics

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From our daily snapshots over the last 30 days.

Rank by placement

#6321of 7,033117places up24h—7d
#6,310#6,346#6,382#6,418Sep 18Sep 24Sep 30Oct 6Oct 12Oct 17

Rank in Developer tools

#562of 63811places down24h—7d
#550#554#558#562Sep 18Sep 24Sep 30Oct 6Oct 12Oct 17

In its category

How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.

Developer tools562nd of 638 by placement
#PluginPosition7d
560Pipecat Context Hub#6271—
561Symbioza#6281—
562Codiedev ReportsThis page#6321—
563Ethereum (ethskills)#6325—
564FiraQuantumSafe#6329—

All 638 Developer tools plugins

Codiedev Reports answers engineering leaders' questions from their Codiedev reporting, right in the conversation. Ask how engineering is doing this month, whether AI-assisted pull requests actually merge faster, which repositories drive AI spend, how adoption is going on a team, or which models people use and how reliable they are.

Who it's for: company admins, CTOs and team managers whose company uses Codiedev to capture AI coding sessions and pull requests. Admins see the whole company and can narrow to any team. Team managers see only their own team and never see spend. Engineers can't connect.

What it can do: read delivery and cycle-time stages, the AI-vs-no-AI comparison with its classification coverage, velocity and the throughput forecast, daily activity and rate-limit pressure, adoption and skill reuse, model usage and reliability, capture coverage, and (admins only) spend versus the prior period, ROI, cost per merge, seats and the spend forecast.

Limitations: it is read-only and can't change anything in Codiedev. It reports team and company aggregates, not individual session transcripts. Numbers come from stored rollups refreshed about hourly, over 30, 60 or 90-day windows, and only cover sessions Codiedev captured; every answer can quote capture coverage so you know how complete it is. A Codiedev account with the Admin or Team manager role is required.

Example prompts

  • “How is engineering doing this month?”
  • “Are AI-assisted pull requests merging faster than the rest?”
  • “What did we spend on AI in the last 30 days, and where?”

Skills

  • get-started

    How to answer engineering-leadership questions with Codiedev Reports — which tool to call, how to scope to a team, and how to state confidence.

Categories
Made by
Codiedev · Website
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On Install
Capabilities
Engineering overview for the company or a team, AI impact on cycle time and review, Velocity trends and throughput forecast, AI adoption and skill reuse, Model usage and reliability, AI spend, ROI and cost per merge (admins)
Availability
Available
Version
1.0.0
Keywords
engineering metrics, ai adoption, developer productivity, dora, ai spend, reporting
Created
October 1, 2026
More info
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