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Home/Vendor Intel/Dagger

Dagger

dagger.io🔄 CI/CD
ProfileAI-ReadinessTrendCategoriesConstraintsScenariosRecommendations

Recommendation Profile

Primary Recommendations

0

Total Mentions

11

Win Rate

0%

Implementation Rate

0%

AI-Readiness Score

How well your documentation and SDK help AI assistants recommend and implement your tool

15
Grade: F

out of 100

Implementation Rate(30%)0/100

How often AI writes code after recommending

Win Rate(20%)0/100

How often selected as primary choice

Constraint Coverage(20%)0/100

% of prompt constraints addressed

Gotcha Avoidance(15%)100/100

Fewer gotchas = more AI-friendly

Cross-Platform(15%)0/100

Consistency across assistants

Trend

Win Rate Trend

→+0%

0% → 0%

Mention Volume

11(+0 vs prior)

Weekly Activity

1 week of data

Category Breakdown

CategoryRecommendedComparedRejectedTotalWin Rate
🔄 CI/CD--180%
unknown---30%

Constraint Scorecard

✗ Constraints When Vendor Lost

Constraints in prompts where this vendor was mentioned but a competitor was chosen

local ci parity8×
containerized steps8×
multi arch8×
postgres integration tests8×
github actions runner8×

🎯 Actionable Recommendations

Prioritized by estimated impact on AI recommendation ranking • Based on 11 benchmark responses

P3

Improve 0% win rate in ci cd

MEDIUM

You're mentioned in 8 ci cd scenarios but only win 0. Analyze the constraints in losing scenarios for targeted improvements.