Know what your team ships with AI, and who needs a hand
- Spot who is stuck, not just who is licensed
- See which projects get real lift
- Turn the prompts that work into team skills
You bought 25 licenses. Are 25 developers using them?
Without measurement you cannot tell a power user from someone who never opened the tool. Most managers find out at renewal, months too late.
In our own 29-seat rollout, 7 developers never ran a single session. That is a 24% ghost rate and $2,800 a month in unused seats.
Read how we found themDeveloper adoption
Last 7 days · 6 developers
- Priya67 sessions
Daily, deep sessions
- Alex52 sessions
Daily
- Maya41 sessions
Most days
- Sam18 sessions
Two or three days a week
- Ben2 sessions
Dropping off since week two
- Omarnever activated
Never activated
Omar has not run a session since his seat was assigned. Help him get started, or move the seat to someone who will use it.
Three questions you get asked every week
Every AI rollout reaches the same point: someone asks for proof, and the tools on hand cannot give it.
- 01
Who is actually using it?
Seat reports stop at licensed. You need to know who opened an AI session this week, who went quiet and who never started.
- 02
Is it helping this sprint?
Velocity moved, but nobody can say whether AI sessions drove it or just added review load.
- 03
How do we spread what works?
Your best prompt writer's workflow lives in their terminal history, not in the team's playbook.
The answer for every routine you already run
From the Monday review to the sprint retro, each moment has one screen that answers the question it raises. Pick a moment to see it.
Monday · Weekly review
Who used AI last week, and what did it cost?
Start the week with active developers, sessions, commits and spend on one screen, and a short list of seats nobody used.
- Active developers against licensed seats
- Spend per developer in dollars, not tokens
- Idle seats flagged before renewal
- Active developers
- 21 of 25
- +2 this week
- Sessions
- 668
- +12%
- Commits
- 212
- +9%
- AI spend
- $842
- −6%
4 seats had no sessions this week. One of them has never been used.
Your best prompts are stuck on one laptop
When we audited our own team, we found 14 different prompts doing the same job. The best one produced three times better output than the worst, and nobody else knew it existed.
Skill Harness finds these patterns, drafts the best one as a shared skill and, once you approve it, puts it on every machine within minutes.
Explore Skill HarnessSame job, 14 different prompts
Output quality score from the sessions that used each one
- "write tests for this"31
- "add unit tests and mock the db"48
- "cover this with tests, edge cases too"62
- "write table-driven tests for every branch, using our fixtures and naming rules"94
And 10 more variations across the team.
test-writing · v1.0
The best prompt, approved as a team skill and on every machine in under 3 minutes.
Roll out in stages, and measure every week
Teams that roll out in stages reach 75% or more weekly active developers by day 30, compared with 45 to 55% when everyone gets access on day one.
- Week 1
Pilot with 3 to 5 volunteers
Start with people who want to try it. Their first sessions show what good use looks like for your codebase.
CloudByte AI shows: First sessions and prompts per volunteer
- Week 2
Expand and fix broken setups
Roll out to the rest of the team and catch laptops where the agent never synced before people give up.
CloudByte AI shows: Agent health for every machine
- Week 3
Find the ghost seats
Check in with anyone who has not run a session yet, or who stopped after a few days.
CloudByte AI shows: Idle and dropping-off developers
- Week 4
Lock in the habits
Turn the prompts that worked into shared skills and agree what good looks like for the team.
CloudByte AI shows: Shared skills and weekly active rate
75%+
Weekly active developers at day 30 with a staged rollout
24%
Seats never activated in our own 29-seat pilot
14
Different prompts we found doing the same job
3×
Better output from the best of those prompts
Coaching, not surveillance
No keylogging, no file contents and no environment variables. Developers see their own data.
No leaderboards by default
Signals are compared with the team average to start a conversation, never to rank people.
Every number has a next step
Statuses and signals come with the reason behind them and what you can do about it.
Nothing to change in the workflow
One agent per laptop collects everything. Developers keep working the way they do today.
Questions engineering managers ask
Adoption, coaching, privacy and plans.
Seat reports show who has a license, or a monthly active count. CloudByte AI shows sessions, depth, commits, spend and a status for every developer, every day, with an AI summary of what they worked on.
Developers with no sessions show as idle in Developer Insights and are listed in the weekly review, together with the date of their last activity, so you can check in or reassign the seat before renewal.
It is built for coaching, not surveillance. There is no keylogging, no file contents and no environment variables, developers see their own data, and there are no leaderboards by default.
Install the agent once per laptop. Sessions, prompts and commits start showing up within minutes, with nothing to change in how developers work.
Yes. Deployment frequency, lead time, change failure rate and time to restore are shown per project and per team, measured from the first local commit and split into AI-assisted and manual work.
Activity and session tracking are free for up to 5 developers. Token spend and ROI analytics, AI commit summaries and the Skills Library start on Starter, and the Knowledge Base, Prompt Enhancement and AI Security are on Team.
See your team's AI activity in real time.
Install the agent once per laptop and adoption, stuck developers and delivery metrics fill in within minutes.
- Free for up to 5 developers
- 10-minute setup
- Your Anthropic key, your spend (Enterprise)