Deveval
Is Your Engineering Team
keeping up with AI?
While competitors ship at 10x speed with AI tools, Deveval shows you exactly where the gap is — with data, not guesswork.
Key Signals
Team-level patterns from latest evaluations
Team scores above 75th percentile across projects
Shipping velocity below target in 3 projects
Cross-team review activity up 18% this quarter
DII Distribution
Impact spread across evaluated members
DII Trend
Average impact score over time
Dimension Health
Scores normalized by each dimension's maximum
Code Quality vs Delivery
Each point is a member, size = DII
Reality check
Have you asked these questions?
Most CTOs can't answer these three questions. Deveval makes the answers clear.
Are your engineers actually using AI effectively?
Or just going through the motions?
sample signal
AI activity is high, but merged product work is not moving with it.
Where does your team's output rank in the industry?
Are similar-sized teams delivering more?
Is your AI tooling investment converting to output?
Where is the ROI?
DII
Four dimensions, one score, zero guesswork.
DII measures code quality, delivery capability, engineering efficiency, and contribution breadth from real GitHub data — no surveys, no self-reports.
One score that compresses quality, delivery, efficiency, and breadth into a conclusion leadership can act on.
Code Quality
Architecture, maintainability, defect risk, and review signal.
Delivery Capability
Business logic shipped, feature completeness, and merged output.
Engineering Efficiency
PR cycle time, first-pass rate, and productive AI adoption.
Contribution Breadth
Cross-repository ownership, review help, and team leverage.
Impact
Same team, same period, different impact.
DII reveals who is shipping effectively and who needs support — without opinions.
Shipped 3 core features this month, effective AI adoption.
High AI usage but low output, requires attention.
Strong infra ownership, slower on product-facing work.
Same headcount, different outcomes.
The report separates productive AI leverage from activity that does not become shipped value.
Ships useful work with clean review signal.
High effort signals without enough delivered value.
Benchmark
Know where your team ranks in the industry.
Benchmark data from real customers, continuously updated as the customer base grows.
industry position
Your median team is 14 points below the top quartile.
team median
what this means
The benchmark turns raw team activity into relative position: who is ahead, who is average, and who is dragging below the market.
Use it to decide whether the team needs coaching, process changes, or a harder conversation about AI tooling ROI.
current ceiling inside your team
Customers
Real feedback.
From teams already using Deveval to make better decisions.
proof point
“We used to track PR count. Then we realized two people were doing almost all the work while others generated tons of AI code that never shipped.”
“The board kept asking "is AI actually helping?" — now we finally have a report that answers it.”
“We evaluated our outsourced dev team's actual output with Deveval. Negotiated 30% off the renewal based on the data.”
How it works
5 minutes to results.
No meetings, no surveys, no tool installations.
Connect GitHub
Sign in, select your repositories.
authorize
Auto-analyze
Code quality, AI usage, and delivery evaluated together.
analyze
Get results
Simple, direct, actionable.
deliver
Product
No dashboards, just answers.
Built for people who don't want to stare at charts.
AI usage vs actual output
Identify the gap between AI tool usage and real delivery. The problem lives in that gap.
High generation, low merge rate.
Deveval separates tool usage from real delivery impact.
One person, one conclusion
Red/yellow/green status + one-sentence summary for each team member. No charts to interpret.
All contributions at a glance
All repositories aggregated. PRs merged, repos touched, DII score — full picture.
Board-ready by default
One-click export a shareable summary. Green/yellow/red counts, key insights, ready for stakeholders.
Comparison
Why not other tools?
Other tools tell you what your team is busy with. Deveval tells you whether they're producing results.
built for AI-era output measurement
Activity tools show motion. Deveval connects AI usage to delivery impact.
| Capability | Deveval | GitHub | Jira | Linear |
|---|---|---|---|---|
| AI usage analysis (Cursor / Claude Code) | ||||
| AI usage vs actual output | ||||
| Real delivery impact scoring | ||||
| Non-technical readable | ||||
| Board-ready reports | ||||
| Built for AI era |
Who it's for
Built for decision makers.
Whether you write code or run the company — Deveval speaks your language.
For CEO
Non-technical founders
No technical knowledge required. See the answers without learning the jargon.
primary question
Is engineering output improving because of AI?
- Why isn't AI increasing output?
- Who is actually creating value?
- Is our team / contractor reliable?
outcome
Board-ready answer without technical translation.
For CTO / VP Eng
Technical leadership
Get defensible conclusions backed by real data. Report upwards with confidence.
primary question
Where is AI adoption creating leverage, and where is it noise?
- Who is using AI effectively?
- Is the AI investment paying off?
- How to report upwards?
outcome
Defensible coaching and reporting signal.
Pricing
Pay for clarity.
Simple per-developer pricing.
Free includes 5 members for one evaluation.
Free
Try Deveval with one focused evaluation.
- Up to 1 team workspace
- Up to 1 GitHub repository
- Evaluate up to 5 team members
- 1 administrator seat
- One-time evaluation over 30 days
- GitHub data sync when analysis runs
- Basic DII metrics
Starter
PopularFor growing teams measuring AI adoption monthly.
1 seats at $3.50/seat/month · billed yearly
- Up to 3 team workspaces
- Up to 10 GitHub repositories
- 1-100 evaluated member seats
- 3 administrator seats
- Monthly automated evaluations
- Automatic GitHub data sync
- 90-day evaluation window
- One-click PDF export
- AI reports for members and teams
Team
For larger orgs comparing teams and functions.
1 seats at $5.60/seat/month · billed yearly
- Up to 10 team workspaces
- Up to 25 GitHub repositories
- 1-100 evaluated member seats
- 5 administrator seats
- Weekly automated evaluations
- Automatic GitHub data sync
- 365-day evaluation window
- AI reports for members and teams
- Cross-team comparison
- Priority support
Cancel anytime · Try free with 1 developer evaluation · Secure payment via Stripe
FAQ
Questions, answered.
Everything you need to know before your first evaluation.
Get started
Get your first impact report in minutes.
Connect GitHub, select repositories, click run. No meetings, no surveys, no tool installations.