ChatGPT Plugin

Codiedev Reports

AI engineering metrics

Brand: Codiedev

Category: Developer Tools
Primary Subcategory: Sales Performance & RevOps Analytics

Integration details

Description

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.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Developer Tools
Primary Subcategory: Sales Performance & RevOps Analytics
Secondary Subcategories: None listed
Brand: Codiedev
Access: Account required
First tracked: 2026-10-16
Tool count: 11
Geography: US

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Primary Subcategory

Competing in ChatGPT Sales Performance & RevOps Analytics

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Listed in alphabetical order

Primary Subcategory

AlterVision0/100

Cirra AI0/100

Codiedev ReportsComing soonGet notified

Gemba0/100

Rox0/100

SmartMarketingSuites0/100

Spinify0/100

Tools

11 tools agents can invoke

Controlled comparison of merge requests written with AI, touched by AI after opening, and with no captured AI: time from session start to PR, review-to-merge time, self-merge rate, PR size, and the weekly trend. Use for 'is AI actually making us faster?' questions. Includes classification coverage so you can state confidence.
get_ai_impact
Company admins only. AI spend for the window versus the prior period, ROI, cost by repository, and proven waste (spend on abandoned work). Use for budget and ROI questions.
get_finance
AI adoption: who is connected and active (team status), adoption signals, and shared-skill adoption. Use for rollout questions like 'how many engineers are actually using it?'.
get_adoption
What share of started AI sessions were captured. Every other metric undercounts by this much, so quote it when giving confidence in a number.
get_capture_coverage
Daily AI session activity and rate-limit pressure, bucketed into the caller's local days. Use for usage patterns and 'are people hitting limits?'.
get_activity
Velocity trends: merged PRs and cycle time over time, with repository and team drill-down. Use for 'are we shipping faster or slower?' and 'which repo is slowing down?'.
get_velocity
The headline engineering report for the company and each team: delivery (merged PRs, cycle-time stages), activity, AI adoption, spend (admins only), blockers, people counts, model usage, and skills. Start here for broad questions like 'how is engineering doing this month?'. Use sections to trim the response.
get_overview
Company admins only. One Finance card: cost per merged PR, model savings, a model what-if, seat utilization, or the spend forecast.
get_finance_detail
List the teams this user can report on, with their ids and parent team. Use it to resolve a team name the user mentions into the teamId the other tools accept. Also says whether the user is a company admin or a team manager.
list_teams
Which AI models the team uses, request and token mix, and reliability (errors, rate limits). Cost fields are included for admins only.
get_model_usage
The forecast of merged PRs for the coming weeks, with its backtest accuracy and (company-wide) live track record. Use for planning and predictability questions.
get_throughput_forecast

FAQs

Codiedev Reports ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Codiedev Reports's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Codiedev Reports alternatives on ChatGPT?

As of 2026-10-16, Codiedev Reports competes with AlterVision, Cirra AI, Gemba, Rox, SmartMarketingSuites, Spinify in ChatGPT Sales Performance & RevOps Analytics, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.