Your whole engineering process, in plain view
The IDE, Git, and the task tracker converge in PanDev into one analytics layer: the whole team looks at the same live DORA metrics instead of manual reports and guesswork.
IDE
Development environment and code editor
Task Tracker
Tasks and project management
LLM
AI tools for development
GIT
Version control system
Terminal
Terminal and CLI work
Finance
Track the cost of every task, team and person
AI Verification
Track how effectively AI tools are used
Copilot for CTO
An AI copilot for engineering leaders: the real picture from metrics
Git and the tracker give you half the picture — PanDev adds the other half
AI writes more and more of the code, and in the commit history it is indistinguishable from a human. Here is what each source sees on its own — and what PanDev adds.
Git
A commit won't tell you an agent wrote it: nobody adds AI attribution
Jira
A worklog is memory, not fact: a ticket status says nothing about the time spent
Together
You see what was done — but not who did it or how long it took
PanDev
Captures the work at the moment it happens
PanDev captures the work where it happens: in the IDE, the terminal, the browser, and AI agents. Human time and agent time are counted separately and tied to the task.
PanDev's own estimate from published research: AI attribution in Git is optional, timesheets are 47% accurate, and developers spend 16% of the day actually writing code.
What PanDev shows
Money, the split between AI and people, answers for engineering leaders — all from one data layer, at every level.
What a feature cost — down to the task and the token
The bill adds itself up: hours from the IDE, tokens from AI agents, and rates from payroll all meet on the issue key.
- Hours from the IDE and the terminal
- Tokens from AI agent logs
- Rates from payroll
What AI did and what people did — in numbers
Every branch change is split between two hands: how much time and how many lines came from the person, and how much from the agent.
- Human time and agent time, kept separately
- Lines added and lines removed
- Per developer, per day, per task
Copilot for CTO
The question that normally takes a week of back-and-forth gets asked out loud — and is answered with numbers right away. The assistant relies on your engineering data, not on impressions.
- Where did the engineering money go this quarter?
- Where did AI genuinely speed things up, and where did you redo its work?
- What did a release cost, and what came after it?
Analytics at every level
The whole company, a department, a team, a single developer — the same metrics in clear dashboards.
- Department metrics
- Team metrics
- Developer metrics
Tracker and knowledge base inside the same perimeter
Both modules ship inside PanDev Metrics — nothing extra to deploy.
An on-premise task tracker, out of the box
Boards, sprints, priorities, dependencies, and roles — inside your own perimeter, with no external SaaS.
- Boards, sprints and priorities
- Dependencies and roles
- Import from Jira, ClickUp, Notion and YouTrack
Team documentation, next to the tasks and the code
Guidelines, decisions, and onboarding grow into a page tree with full version history; links to tasks, people, and teams work right from the text.
- History and restore
- Page tree of any depth
- Live links to tasks, people and teams
On-Premises deployment
Deploy on your servers and store data locally
Data Security
Your data stays on your servers. Full control and compliance with corporate security standards.
- Data encryption
- Access control
- Action audit
Minimal requirements
Installs on any server — modest hardware requirements.
- Database:PostgreSQL
- RAM:4 GB
- CPU:2 cores
- SSD:50 GB
Simple deployment
Install with Docker or directly — up and running in minutes.
- Server preparation:Docker installation and database setup
- Container launch:One command to launch
- Setup — and you are live:Final setup in the web interface