Deadlines keep moving
Explanations change, while you need an independent view of whether the result matches the time and cost.
Independent software productivity assessment
You pay for software development.See the return you get from every developer
DevGhost assesses each developer’s output from the changes they create in code and compares it with one benchmark: the expected output of a full-time mid-level developer who knows the project and works without AI.
See who consistently works above the benchmark, who falls below it, and where the context deserves a closer look.
No commit or line counting. No time trackers, screenshots, or surveillance.
See the result
A second opinion on a real team
NamesX:Work DaysEffortRecommendations:OnOffTrends:OffDailyWeeklyMonthlyFTE:SpreadFTE
100% is the reference developer level: a full-time mid-level developer who knows the project and works without AI.
Real analysis data. Fictional names and project details.
Effort is the estimated volume of changes in benchmark-developer hours. The chart position suggests where to begin the conversation.
Who is above or below the benchmark
Compare everyone on one scale while accounting for the share of time spent coding.
How output changes
See trends, sustained growth, and the periods where a decline began.
Where to look closer
Move from the signal to the changes that need context.
When you need an independent second opinion
People are busy. Work is moving.
Does the output match the cost?
Status updates, Jira, and Slack show activity. DevGhost shows another layer: how much work became code and who created it.
The vendor is busy, but output is unclear
Compare the work report with what appeared in the repository. Assess employees and vendors by the same rules.
You introduced AI. Did output grow?
Compare periods before and after AI adoption, while accounting for tasks, roles, and team changes.
The loudest people are not always the most productive
Look at contribution in code separately from chat activity, confident updates, and personal visibility.
For people accountable for software delivery:founders and business ownersCTOs and engineering leaderssoftware buyers
From signal to decision
Data for the conversation.
The decision stays with you.
You know the goals, task complexity, and team constraints. DevGhost adds an assessment of Git changes and helps you decide what to check first.
The metric sees work embodied in code. Account separately for someone’s role, mentoring, reviews, and other work.
01
Find a sustained signal
Review the period and trend. Recognition, growth, unblocking, or a context check: recommendations suggest a direction for the conversation.
02
Check the context and changes
Compare the result with tasks, role, and Share: the portion of time spent coding. Open the changes that need explanation.
03
Choose the next step
Recognize contribution, clarify workload, or remove blockers. Use the facts to discuss causes and actions.
How the assessment works
One comparison scale for the whole team
Change content, not line count
DevGhost analyzes Git history and estimates the work embodied in each change. Formatting and generated files should not look like major engineering contributions.
Period and role matter
Use the accumulated picture. Share accounts for a lead or architect who codes for only part of their working time.
Do you monitor developers?+
No. DevGhost does not track time, screens, or keyboards. It analyzes code changes. The estimate in hours describes work volume on one scale, not time spent at a computer.
Our team uses AI. Does that break the metric?+
The benchmark stays fixed: a mid-level developer who knows the project and works without AI. Compare output before and after adoption while accounting for task and team changes.
How much can we trust it?+
A single commit can have substantial error. Use aggregated results, sustained differences, and trends, then check each signal against Share, role, and team context.
Can we make personnel decisions from this?+
Use DevGhost as one signal, never the sole or primary basis. Consider role, task complexity, result quality, and the manager’s context.
Do we need to send code to the cloud?+
It depends on the format. SaaS processes changes in the DevGhost cloud. Local runs entirely on your computer without external calls. On-Prem runs in company infrastructure.
Software development in the AI era
The world is changing.
One engineer can now do the work of a team.
The public TryGhost/Ghost history shows engineers using Codex and Claude for implementation, tests, and follow-up work. The assessed output of one engineer has already exceeded the DevGhost benchmark by more than ten times.
10×
of the DevGhost benchmarkSteve Larson · October 1–7, 20268.1× for the full third quarter
TryGhost/GhostGhost% trend · 2025–2026
QuarterFTETop 3 growth
Right-hand labels: trend change, pp
Repository averageSteve LarsonTroy CiescoHannah Wolfe
100% is the DevGhost benchmark. A full-time mid-level developer who knows the project and works without AI.
Latest point: October 1–7, 2026.
AI work in the public project history
Where are your developers on this curve?
Compare your team’s result against the same benchmark.
Three DevGhost formats
Choose how to start
One job: understand software output. Choose where code is processed and where results are stored.
SAAS
In the
DevGhost cloud
Connect repositories and share dashboards without a local installation.
$0
2,000 signup credits
plus 500 every month
- The complete product is available free, without a card
- Processing and results live in the DevGhost cloud
- Add credits with one-time packs
Free DevGhost account
LOCAL
On your
computer
Analyze local Git history in VS Code, Cursor, or the DevGhost app for Windows.
$0
500 new commits free every month
- Fully local: no internet or external calls
- Code and results stay on your computer
- Additional credits are activated offline too
No subscription or bank card
ON-PREM
In company
infrastructure
Run DevGhost on your own servers, with deployment support.
On request
Terms matched to your infrastructure
- Source code and results stay inside the company
- Read-only connection to internal Git
- Requirements review and deployment support
Need to analyze more?
Add credits with a one-time payment. Cloud and Local packs are purchased separately for the format you use.
| Pack | Local |
|---|---|
| 1,000 credits | $29 |
| 5,000 credits | $99 |
| 20,000 credits | $299 |
The cloud shows the exact cost before analysis starts. In Local, one credit covers one newly analyzed commit.
DevGhost On-Prem
DevGhost in your infrastructure
We will discuss deployment in your company infrastructure and the right implementation path. Technical details can follow in the conversation.
Help with your first run
Run the first analysis together
The DevGhost founder will show you the product, help choose a repository and period, and review the results with you. The first assisted pilot is free.